218 lines
11 KiB
Python
218 lines
11 KiB
Python
"""节点 5.5/6：生成印花设计稿 + 导出简报包（compose）。
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流程位置：prompt_build → compose → product（compose 在 product 之前）。
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职责��
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1. 生成纯印花设计稿：对前 N 个 safe 简报（N=config.compose.design_count，默认 1），
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用 image_prompt 调图像后端 generate()（白底、可直接打印），产物存 output/<country>/designs/，
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设计稿路径写回 brief.design_path，并汇总返回 designs 列表供 product 节点使用（图2）。
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2. 导出简报包：design_briefs.json/md、composite_prompts.json/md、report.md。
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"""
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import json
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import time
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from pathlib import Path
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from typing import Any, Dict, List
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from graph.validate import with_fallback
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RISK_LABEL = {"safe": "✅ 安全", "review": "⚠️ 待复核", "blocked": "⛔ 拦截"}
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def _build_briefs_md(briefs: List[Dict[str, Any]], generated_at: str) -> str:
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lines = [
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"# POD 印花设计简报（LLM 合规筛选 + 生图提示词）",
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"",
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f"- 生成时间: {generated_at}",
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f"- 通过筛选: {len(briefs)} 条",
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"",
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"## 一、安全设计清单（按综合分排序）",
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"",
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"| 排名 | 国家 | 热点词 | 类别 | 风险 | 设计概念 |",
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"|---|---|---|---|---|---|",
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]
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for i, r in enumerate(briefs, 1):
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flag = RISK_LABEL.get(r.get("risk_level"), r.get("risk_level"))
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lines.append(
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f"| {i} | {r.get('country','')} | {r.get('topic','')} | {r.get('design_category','')} | {flag} | {r.get('concept','')} |"
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)
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lines += ["", "## 二、设计要素 + 封装提示词", ""]
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lines.append("> 工作流：① `image_prompt` = 印花设计稿（白底，单独生图）；② 上传平铺衣服底图(图1)后，")
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lines.append("> 用 `composite_prompt` + 图1 经 img2img 把设计印到衣服；规则写死：保留衣服、胸前居中印花、真实丝网质感。")
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lines.append("")
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for i, r in enumerate(briefs, 1):
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flag = RISK_LABEL.get(r.get("risk_level"), r.get("risk_level"))
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lines.append(f"### {i}. [{r.get('country','')}] {r.get('topic','')} （{flag}）")
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lines.append(f"- 类别: {r.get('design_category','')}")
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lines.append(f"- 设计要素: 主体=「{r.get('motif','')}」 | 风格=「{r.get('art_style','')}」 | 配色=「{r.get('color_palette','')}」 | 构图=「{r.get('composition','')}」")
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lines.append(f"- 概念: {r.get('concept','')}")
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if r.get("risk_reasons"):
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lines.append(f"- 风险提示: {'; '.join(r['risk_reasons'])}")
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if r.get("design_path"):
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lines.append(f"- **设计稿**: {r['design_path']}")
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lines.append(f"- **设计稿 Prompt (image_prompt)**: {r.get('image_prompt','')}")
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lines.append(f"- **印到底图 Prompt (composite_prompt)**: {r.get('composite_prompt','')}")
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lines.append(f"- **Composite Negative**: {r.get('composite_negative','')}")
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lines.append("")
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return "\n".join(lines)
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def _build_composite_md(briefs: List[Dict[str, Any]]) -> str:
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lines = [
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"# 封装提示词包（印到平铺衣服底图 图1）",
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"",
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f"- 共 {len(briefs)} 条，每条含 `composite_prompt`（印图指令）+ `composite_negative`。",
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"- 用法：将你的平铺衣服参考图作为图1，连同 `composite_prompt` 送入任意 img2img / inpaint 模型。",
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"",
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]
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for i, r in enumerate(briefs, 1):
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lines.append(f"### {i}. [{r.get('country','')}] {r.get('topic','')}")
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lines.append(f"- composite_prompt: {r.get('composite_prompt','')}")
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lines.append(f"- composite_negative: {r.get('composite_negative','')}")
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lines.append("")
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return "\n".join(lines)
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def _build_report_md(state: Dict[str, Any]) -> str:
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country = state.get("country", "")
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stats = state.get("stats") or {}
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errors = state.get("errors") or []
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lines = [
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f"# POD 热点抓取报告 - {country}",
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"",
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f"- 生成时间: {time.strftime('%Y-%m-%dT%H:%M:%S')}",
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"",
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"## 各阶段统计",
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"",
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"| 阶段 | 指标 |",
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"|---|---|",
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]
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for k, v in stats.items():
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lines.append(f"| {k} | {v} |")
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lines += ["", "## 兜底错误记录（节点级 fallback 捕获）", ""]
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if errors:
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for e in errors:
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lines.append(f"- [{e.get('node')}] {e.get('type')}: {e.get('message')}")
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else:
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lines.append("- 无（全部节点正常）")
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return "\n".join(lines)
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@with_fallback("compose")
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def compose_node(state: Dict[str, Any]) -> Dict[str, Any]:
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briefs: List[Dict[str, Any]] = state.get("briefs") or []
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output_dir = Path(state["output_dir"]) # 本次任务产物（时间戳文件夹）
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output_dir.mkdir(parents=True, exist_ok=True)
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cache_dir = Path(state.get("cache_dir") or output_dir) # 缓存/去重（根目录）
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config = state["config"]
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country = state.get("country", "")
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generated_at = time.strftime("%Y-%m-%dT%H:%M:%S")
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# 1) design_briefs.json（缓存 → 根目录，不进时间戳任务文件夹）
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(cache_dir / "design_briefs.json").write_text(
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json.dumps({"generated_at": generated_at, "total": len(briefs), "design_briefs": briefs},
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ensure_ascii=False, indent=2), encoding="utf-8")
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# 2) design_briefs.md
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(cache_dir / "design_briefs.md").write_text(
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_build_briefs_md(briefs, generated_at), encoding="utf-8")
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# 3) composite_prompts.json / .md
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(cache_dir / "composite_prompts.json").write_text(
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json.dumps({"generated_at": generated_at, "total": len(briefs), "composite_prompts": briefs},
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ensure_ascii=False, indent=2), encoding="utf-8")
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(cache_dir / "composite_prompts.md").write_text(
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_build_composite_md(briefs), encoding="utf-8")
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# 4) report.md（本次任务报告 → 产物目录）
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(output_dir / "report.md").write_text(_build_report_md(state), encoding="utf-8")
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# 5) 生成纯印花设计稿（图2）：前 N 个 safe 简报用 image_prompt 文生图
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designs: List[Dict[str, Any]] = []
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compose_cfg = config.get("compose") or {}
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backend_name = compose_cfg.get("backend", "")
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ib = None
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if backend_name:
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try:
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from graph.backends import get_image_backend
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ib = get_image_backend(backend_name)
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if ib is not None:
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ib.bind_config(compose_cfg)
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except Exception as e: # noqa: BLE001
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print(f"[compose] 图像后端 {backend_name} 不可用: {e}")
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if ib is None:
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print("[compose] 未配置 compose.backend（openai/mock），跳过印花设计稿生成。")
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else:
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# 设计稿覆盖所有简报（含 review）：每个热点一张设计，避免 review 热点无设计
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# 导致 product 回退生成重复占位图；风险由 assign 层（allow_review）控制是否分配
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safe_briefs = briefs
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design_count = int(compose_cfg.get("design_count", 1))
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# 联动总任务数：每个产品一张设计 → 生成 扩展后 spu_tasks 总数 张设计
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task_n = int(len((state.get("config") or {}).get("product", {}).get("spu_tasks") or []))
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if task_n > design_count:
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design_count = task_n
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design_dir = output_dir / "designs"
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design_dir.mkdir(exist_ok=True)
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from graph.style_rules import sanitize_image_prompt, ensure_rebrand_hint
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from concurrent.futures import ThreadPoolExecutor, as_completed
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def _gen_one(i: int, b: Dict[str, Any]):
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"""单张设计稿生成（并发线程内调用，每设计一线程）。
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Pinterest 参考模式：简报带 ref_images（爬取图）→ 用 ib.print() 图生图，
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把爬取图 + 多模态分析简报（已封装进 image_prompt）一起发给生图模型；
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无参考图或图生图失败 → 回退 ib.generate() 纯文生图。
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"""
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try:
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img_prompt = sanitize_image_prompt(b.get("image_prompt", ""))
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img_prompt = ensure_rebrand_hint(b, img_prompt) # review → 原创化魔改引导
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out_path = str(design_dir / f"{country}_{i:02d}_design.png")
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ref_images = [str(p) for p in (b.get("ref_images") or []) if str(p)]
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if ref_images and hasattr(ib, "print"):
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try:
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# 图生图：以爬取图为参考，按分析简报生成原创设计（不复制原图）
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ref_prompt = img_prompt + (
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" Create an ORIGINAL, non-copying flat print design inspired ONLY by "
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"the reference image's style and mood. Do NOT reproduce the reference "
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"image, its characters, logos, or any text.")
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out_path = ib.print(
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ref_prompt, ref_images[0], out_path,
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b.get("composite_negative", ""),
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extra_images=ref_images[1:] or None,
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size="1024x1024") # 印花设计统一 1024x1024
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except Exception as e: # noqa: BLE001
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print(f"[compose] 图生图（参考图）失败，回退文生图 {b.get('topic','')}: {e}")
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out_path = ib.generate(
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img_prompt, str(design_dir / f"{country}_{i:02d}_design.png"),
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b.get("composite_negative", ""), size="1024x1024")
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else:
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out_path = ib.generate(
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img_prompt, str(design_dir / f"{country}_{i:02d}_design.png"),
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b.get("composite_negative", ""), size="1024x1024")
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return i, b, out_path, None
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except Exception as e: # noqa: BLE001
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return i, b, None, e
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targets = [(i, b) for i, b in enumerate(safe_briefs[:design_count], 1)]
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# 并发生成：每张设计一个线程（并行调图像网关），数量多时不串行等待
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workers = max(1, min(len(targets), int((config.get("compose") or {}).get("design_workers", 5))))
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print(f"[compose] 并发生成 {len(targets)} 张设计稿（{workers} 线程）…")
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with ThreadPoolExecutor(max_workers=workers) as _ex:
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_futs = [_ex.submit(_gen_one, i, b) for i, b in targets]
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for _f in as_completed(_futs):
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i, b, out_path, err = _f.result()
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if err is not None:
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print(f"[compose] 设计稿生成失败 {b.get('topic', '')}: {err}")
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state.setdefault("errors", []).append({
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"node": "compose", "type": type(err).__name__,
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"message": f"设计稿生成失败 {b.get('topic','')}: {err}", "trace": ""})
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else:
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b["design_path"] = out_path
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designs.append({"topic": b.get("topic", ""), "path": out_path, "design_path": out_path})
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print(f"[compose] 印花设计稿已生成: {out_path}")
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stats = dict(state.get("stats") or {})
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stats["compose"] = {"written": len(briefs), "designs": len(designs), "output_dir": str(output_dir)}
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return {"composite": briefs, "designs": designs, "stats": stats,
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"errors": state.get("errors") or []}
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