3218485270
f493bde8a9
- 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
91 lines
4.7 KiB
Python
91 lines
4.7 KiB
Python
"""节点 5/6：提示词构造（prompt_build）。
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读取 prompts/<country>/ 的 extra 风格规则，用固定模板装配四种最终提示词
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（image_prompt / wearable_prompt / composite_prompt / composite_negative）。
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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。
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"""
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from typing import Any, Dict, List
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import random
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from graph.style_rules import derive_style_palette, derive_composition
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from graph.templates import assemble_prompts
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from graph.validate import validate_brief, with_fallback
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# 图像生成策略敏感词 → 安全等效描述（生成设计稿前清洗 motif，
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# 避免 gpt-image 等内容策略频繁拦截导致"生图限制多"）
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_IMG_RISKY_SWAP = {
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"skull": "smiley mascot", "skeleton": "cute mascot", "blood": "red accents",
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"gore": "bold shapes", "gun": "star", "weapon": "tool", "bomb": "firework",
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"drug": "confetti", "demon": "cute monster", "devil": "mischievous imp",
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"occult": "mystic pattern", "satanic": "dark pattern", "nazi": "retro emblem",
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"hitler": "retro emblem", "zombie": "friendly ghoul", "horror": "spooky-cute",
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"vampire": "night owl", "politics": "abstract shapes", "political": "abstract",
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"president": "captain", "army": "team", "police": "officer",
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}
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def _safe_motif(motif: str) -> str:
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"""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。"""
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low = motif.lower()
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for k, v in _IMG_RISKY_SWAP.items():
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if k in low:
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# 按词边界替换（避免误伤 "letterhead" 等）
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import re
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motif = re.sub(rf"\b{re.escape(k)}\b", v, motif, flags=re.IGNORECASE)
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low = motif.lower()
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return motif
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@with_fallback("prompt_build")
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def prompt_node(state: Dict[str, Any]) -> Dict[str, Any]:
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screened: List[Dict[str, Any]] = state.get("screened") or []
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config = state["config"]
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country = state["country"]
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cc = state["country_config"]
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extra_rules = cc.get("extra_style_rules") or []
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tpls = config.get("prompt_templates") or {}
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briefs: List[Dict[str, Any]] = []
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for r in screened:
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r = validate_brief(r)
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art, pal = derive_style_palette(
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r["topic"], country, extra_rules=extra_rules, category=r.get("design_category")
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)
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motif = (r.get("motif") or "").strip() or r.get("topic", "")
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cleaned = _safe_motif(motif)
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if cleaned != motif:
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print(f"[prompt] motif 敏感词清洗: 「{motif}」→「{cleaned}」（降低生图内容政策拦截）")
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r["motif"] = cleaned
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motif = cleaned
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art_style = (r.get("art_style") or art).strip()
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palette = (r.get("color_palette") or pal).strip()
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composition = (r.get("composition") or derive_composition(r["topic"], r.get("design_category"))).strip()
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prompts = assemble_prompts(motif, art_style, palette, composition, tpls, country)
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# 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
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slogan = (r.get("slogan") or "").strip()
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if slogan and random.random() < float(config.get("prompt_templates", {}).get("text_ratio", 0.3)):
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text_seg = (f', with the text "{slogan}" rendered as bold retro typography, '
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f'lettering clean and correctly spelled, high contrast, as the focal text of the print')
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prompts["image_prompt"] = prompts["image_prompt"] + text_seg
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r["used_slogan"] = slogan
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# 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，
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# 换名换细节，生成通用非侵权的致敬式设计
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if str(r.get("risk_level", "")).strip().lower() == "review":
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prompts["image_prompt"] = (prompts["image_prompt"]
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+ " IMPORTANT: this theme is ONLY a loose stylistic reference. "
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"Do NOT reproduce any brand logo, trademark, character, mascot, copyrighted artwork or real person. "
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"Create a fully ORIGINAL design with a different name and distinct visual details and colors — "
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"a generic, non-infringing homage in the same mood, clearly distinct from the original.")
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print(f"[prompt] review 简报注入原创化魔改引导: 「{r['topic']}」")
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r.update(prompts)
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r["motif"] = motif
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r["art_style"] = art_style
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r["color_palette"] = palette
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r["composition"] = composition
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briefs.append(r)
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stats = dict(state.get("stats") or {})
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stats["prompt"] = {"briefs": len(briefs)}
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return {"briefs": briefs, "stats": stats}
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