POD 趋势感知 Agent：缓存热点模式 + 三图合成 + 热点去重/风格去重 + review 兜底

- 缓存热点批量流程（有采集缓存不触发 Google） - 简报不足直接从采集缓存生成（轻量补齐） - 三图合成（模特/印花/底图）+ 底图压缩 <2MB - 热点去重→风格去重自动切换 + 不适合类目 review 兜底 - 透明背景（background=transparent）+ 提示词清洗（敏感词/背景描述） - 任务前 basemap 校验 + 模板国家校验 + 模特任务级分配
2026-08-22 14:14:01 +08:00
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+"""节点 5/6：提示词构造（prompt_build）。
+
+读取 prompts/<country>/ 的 extra 风格规则，用固定模板装配四种最终提示词
+（image_prompt / wearable_prompt / composite_prompt / composite_negative）。
+四要素缺失时用 derive_style_palette 动态兜底，保证每条提示词结构一致、有规则。
+"""
+from typing import Any, Dict, List
+import random
+
+from graph.style_rules import derive_style_palette, derive_composition
+from graph.templates import assemble_prompts
+from graph.validate import validate_brief, with_fallback
+
+# 图像生成策略敏感词 → 安全等效描述（生成设计稿前清洗 motif，
+# 避免 gpt-image 等内容策略频繁拦截导致"生图限制多"）
+_IMG_RISKY_SWAP = {
+    "skull": "smiley mascot", "skeleton": "cute mascot", "blood": "red accents",
+    "gore": "bold shapes", "gun": "star", "weapon": "tool", "bomb": "firework",
+    "drug": "confetti", "demon": "cute monster", "devil": "mischievous imp",
+    "occult": "mystic pattern", "satanic": "dark pattern", "nazi": "retro emblem",
+    "hitler": "retro emblem", "zombie": "friendly ghoul", "horror": "spooky-cute",
+    "vampire": "night owl", "politics": "abstract shapes", "political": "abstract",
+    "president": "captain", "army": "team", "police": "officer",
+}
+
+
+def _safe_motif(motif: str) -> str:
+    """清洗 motif 中的图像策略敏感词（替换为安全等效描述），降低生图内容政策拦截率。"""
+    low = motif.lower()
+    for k, v in _IMG_RISKY_SWAP.items():
+        if k in low:
+            # 按词边界替换（避免误伤 "letterhead" 等）
+            import re
+            motif = re.sub(rf"\b{re.escape(k)}\b", v, motif, flags=re.IGNORECASE)
+            low = motif.lower()
+    return motif
+
+
+@with_fallback("prompt_build")
+def prompt_node(state: Dict[str, Any]) -> Dict[str, Any]:
+    screened: List[Dict[str, Any]] = state.get("screened") or []
+    config = state["config"]
+    country = state["country"]
+    cc = state["country_config"]
+    extra_rules = cc.get("extra_style_rules") or []
+    tpls = config.get("prompt_templates") or {}
+
+    briefs: List[Dict[str, Any]] = []
+    for r in screened:
+        r = validate_brief(r)
+        art, pal = derive_style_palette(
+            r["topic"], country, extra_rules=extra_rules, category=r.get("design_category")
+        )
+        motif = (r.get("motif") or "").strip() or r.get("topic", "")
+        cleaned = _safe_motif(motif)
+        if cleaned != motif:
+            print(f"[prompt] motif 敏感词清洗: 「{motif}」→「{cleaned}」（降低生图内容政策拦截）")
+            r["motif"] = cleaned
+            motif = cleaned
+        art_style = (r.get("art_style") or art).strip()
+        palette = (r.get("color_palette") or pal).strip()
+        composition = (r.get("composition") or derive_composition(r["topic"], r.get("design_category"))).strip()
+
+        prompts = assemble_prompts(motif, art_style, palette, composition, tpls, country)
+        # 文字印花（约 30% 概率）：简报有 slogan 时，随机注入文字段到设计稿提示词
+        slogan = (r.get("slogan") or "").strip()
+        if slogan and random.random() < float(config.get("prompt_templates", {}).get("text_ratio", 0.3)):
+            text_seg = (f', with the text "{slogan}" rendered as bold retro typography, '
+                        f'lettering clean and correctly spelled, high contrast, as the focal text of the print')
+            prompts["image_prompt"] = prompts["image_prompt"] + text_seg
+            r["used_slogan"] = slogan
+        # review（疑似商标/受保护主题）→ 动态注入「原创化魔改」引导：只做风格参考，禁止复刻品牌/商标/角色，
+        # 换名换细节，生成通用非侵权的致敬式设计
+        if str(r.get("risk_level", "")).strip().lower() == "review":
+            prompts["image_prompt"] = (prompts["image_prompt"]
+                + " IMPORTANT: this theme is ONLY a loose stylistic reference. "
+                  "Do NOT reproduce any brand logo, trademark, character, mascot, copyrighted artwork or real person. "
+                  "Create a fully ORIGINAL design with a different name and distinct visual details and colors — "
+                  "a generic, non-infringing homage in the same mood, clearly distinct from the original.")
+            print(f"[prompt] review 简报注入原创化魔改引导: 「{r['topic']}」")
+        r.update(prompts)
+        r["motif"] = motif
+        r["art_style"] = art_style
+        r["color_palette"] = palette
+        r["composition"] = composition
+        briefs.append(r)
+
+    stats = dict(state.get("stats") or {})
+    stats["prompt"] = {"briefs": len(briefs)}
+    return {"briefs": briefs, "stats": stats}