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
341 lines
17 KiB
Python
341 lines
17 KiB
Python
"""动态风格 / 配色推导（领域知识，可插拔）。
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关键：art_style 与 color_palette 不再按国家写死，而是根据「热点词本身语义」动态推导：
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① 该国专属 extra 规则（prompts/<country>/aesthetics.yaml，最具体优先）
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② 全局关键词规则 STYLE_PALETTE_RULES（覆盖更全、配色更丰富、风格更具体新颖）
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③ 确定性风格微调 STYLE_TWISTS（按主题哈希选，同词稳定、跨词不同，打破千篇一律）
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④ 按 classify 类别兜底
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⑤ 国家基调最末兜底（极少走到）
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关键词匹配用「单词边界」，避免 eco 误中 cottagecore、kit 误中 jacket 等子串歧义。
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具体规则排在通用 retro/vintage 之前，避免 retro games / retro trainers 被笼统归为复古风。
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"""
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import hashlib
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import re
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from typing import Dict, List, Optional, Tuple
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# 规则按「优先级」排列：越靠前越具体，命中任一关键词即采用该条（取第一个命中）。
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# 关键词匹配为单词边界。配色统一 5 色，艺术风格尽量具体+新颖。
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STYLE_PALETTE_RULES: List[Tuple[tuple, str, str]] = [
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(("skull", "death", "gothic", "horror", "zombie", "vampire", "spooky", "occult"),
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"dark gothic engraving with ornate filigree",
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"oxblood red, charcoal black, antique silver, deep purple, bone white"),
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(("metal", "rock", "band", "grunge", "punk", "emo", "anarchist"),
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"gritty risograph grunge zine",
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"muted olive, rust orange, dirty cream, faded black, safety-pin silver"),
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(("kawaii", "cute", "chibi", "sanrio"),
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"kawaii chibi sticker with thick outlines",
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"pastel pink, baby blue, mint, butter yellow, cream"),
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(("cat", "kitten"),
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"cute cat cartoon with bold outlines",
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"warm cream, soft pink, charcoal, peach, sky blue"),
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(("dog", "puppy"),
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"playful dog cartoon with wagging tail",
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"warm brown, cream, navy, tan, rust"),
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(("coffee", "cafe", "tea", "latte", "brew"),
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"cozy drink line illustration with steam curls",
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"espresso brown, cream, caramel, sage, terracotta"),
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(("mountain", "nature", "forest", "camping", "hiking", "outdoor", "wilderness", "woodland"),
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"minimal outdoor landscape with layered ridgelines",
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"forest green, slate gray, sand, cream, pine"),
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(("beach", "surf", "ocean", "summer", "tropical", "sun", "seaside"),
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"bright tropical screen-print",
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"sky blue, coral, sand, sun-bleached white, turquoise"),
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(("synthwave", "vaporwave", "retrowave"),
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"synthwave neon with grid horizon",
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"neon purple, magenta, cyan, deep navy, hot pink"),
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(("anime", "manga", "otaku", "waifu"),
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"anime-inspired flat cel with speed lines",
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"vivid cyan, magenta, white, ink black, lemon"),
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(("space", "galaxy", "star", "astro", "cosmic", "moon", "universe", "nebula"),
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"cosmic vector with nebula glow",
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"deep navy, violet, silver, starlight white, magenta"),
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(("heart", "love", "valentine", "romance", "couple"),
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"romantic badge with hand-lettered flourish",
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"rose red, blush pink, cream, gold, burgundy"),
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(("book", "reading", "library", "bookish", "novel"),
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"cozy bookish line art with marginalia",
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"warm brown, cream, forest green, oxblood, gold"),
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(("music", "song", "concert", "festival", "dj", "gig"),
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"dynamic gig poster with spotlight beams",
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"electric purple, magenta, black, neon lime, silver"),
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(("food", "pizza", "burger", "baking", "donut", "taco"),
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"appetizing flat food illustration",
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"warm red, cheese yellow, leaf green, cream, tomato"),
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(("cyber", "cyberpunk", "neon", "tech", "robot", "mecha", "glitch"),
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"neon digital with glitch grid",
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"neon magenta, cyan, electric purple, black, lime"),
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(("steam", "steampunk", "gear", "cog", "airship", "mechanical"),
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"detailed mechanical engraving with brass",
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"brass, copper, aged brown, sepia, gunmetal"),
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(("solar", "eco", "green", "sustainable", "earth", "climate"),
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"hopeful solarpunk eco with clean lines",
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"leaf green, solar gold, sky blue, terracotta, cream"),
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(("cottage", "cottagecore", "pastoral", "farm", "rustic"),
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"soft storybook watercolor with wildflowers",
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"sage green, butter yellow, dusty rose, cream, moss"),
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(("car", "automotive", "vehicle", "classic", "racer"),
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"retro automotive poster with chrome sheen",
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"cherry red, cream, chrome silver, navy, tan"),
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(("game", "gaming", "arcade", "pixel", "8-bit"),
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"8-bit pixel-art with scanlines",
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"neon green, magenta, cyan, black, yellow"),
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(("shoe", "sneaker", "trainer", "footwear", "boots"),
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"retro product sneaker illustration",
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"white, red, navy, gum-sole tan, court grey"),
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(("watch", "clock", "timepiece", "chronograph"),
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"elegant engraving with roman numerals",
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"antique gold, navy, cream, burgundy, slate"),
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(("lion", "shield", "crest", "heraldic", "crown", "queen", "king", "royal"),
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"heraldic emblem with original rampant beast",
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"royal blue, crimson, gold, cream, navy"),
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(("bee", "animal", "wildlife", "bird", "fox", "bear", "rabbit"),
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"charming zoological illustration",
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"honey gold, charcoal, leaf green, cream, rust"),
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(("map", "city", "london", "travel", "trip", "skyline", "landmark"),
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"mid-century travel poster with skyline",
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"royal red, teal, navy, cream, mustard"),
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(("rain", "weather", "cloud", "moody", "storm", "fog"),
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"moody rain illustration with droplets",
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"slate blue, pewter, cream, oxblood, charcoal"),
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(("witch", "magic", "halloween", "wizard", "spell"),
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"whimsical witchy illustration with moon",
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"deep purple, black, moss green, gold, amethyst"),
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(("christmas", "xmas", "santa", "snowflake", "festive"),
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"festive christmas with needle-felt texture",
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"pine green, berry red, cream, gold, ice blue"),
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(("sport", "gym", "football", "soccer", "baseball", "workout", "jersey", "kit", "athletic", "england"),
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"bold athletic emblem with motion streaks",
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"navy, white, athletic red, silver, volt green"),
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(("patriotic", "flag", "america", "freedom", "usa"),
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"bold patriotic emblem with stars",
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"navy, red, cream, gold, slate"),
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(("retro", "80s", "90s", "y2k", "memphis"),
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"1980s Memphis pop with geometric confetti",
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"faded navy, cream, burnt orange, hot pink, teal"),
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(("vintage", "antique", "distressed", "classic", "aged"),
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"aged letterpress vintage with halftone",
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"faded sepia, cream, muted teal, oxblood, distressed black"),
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]
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# 预编译单词边界正则，避免 eco 误中 cottagecore、kit 误中 jacket 等子串歧义。
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# 每个关键词附加可选复数 (?:s)?，覆盖 games/cats 等复数形态。
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def _pattern_from(kws: List[str]) -> "re.Pattern":
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return re.compile(r"\b(?:" + "|".join(re.escape(k) + "(?:s)?" for k in kws) + r")\b")
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_RULE_PATTERNS = [
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(_pattern_from(list(kws)), art, pal)
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for kws, art, pal in STYLE_PALETTE_RULES
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]
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def _kw_pattern(kws: List[str]) -> "re.Pattern":
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return _pattern_from(kws)
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# 风格微调池：确定性地给每条设计追加一个“技法/质感”修饰，提升新颖度与差异度。
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# 选择基于主题的稳定哈希，保证「同词稳定、跨词不同」（不依赖进程随机种子）。
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STYLE_TWISTS: List[str] = [
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"with subtle risograph grain and slight misregistration",
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"with bold halftone dot shading",
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"with hand-drawn imperfect ink edges",
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"with limited-palette screen-print separation",
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"with fine stipple and engraving texture",
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"with paper-cut layered depth",
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"with art-deco geometric framing",
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"with Memphis-style confetti shapes",
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"with soft watercolor bleed at the edges",
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"with iridescent foil accent",
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]
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def _stable_hash(text: str) -> int:
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"""跨进程稳定的字符串哈希（不依赖 PYTHONHASHSEED）。"""
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return int(hashlib.md5(text.encode("utf-8")).hexdigest(), 16)
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# 类别兜底：关键词都没命中时，按 classify 类别给一个合理风格/配色（含 5 色）
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STYLE_BY_CATEGORY: Dict[str, str] = {
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"Event": "festive badge illustration",
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"Meme": "bold comic meme illustration",
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"Style": "trendy flat vector illustration",
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"Niche": "clean modern vector illustration",
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"Pattern": "seamless pattern tile illustration",
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"Quote": "bold typographic illustration",
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}
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PALETTE_BY_CATEGORY: Dict[str, str] = {
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"Event": "festive multi-color: red, gold, forest green, cream, berry",
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"Meme": "bold high-contrast: black, white, pop yellow, magenta, cyan",
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"Style": "trendy balanced modern: navy, coral, cream, sage, slate",
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"Niche": "versatile balanced: teal, sand, charcoal, blush, white",
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"Pattern": "harmonious repeating: terracotta, olive, cream, rust, gold",
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"Quote": "high-contrast typographic: ink black, off-white, accent red, gold",
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}
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# 国家基调最末兜底（代码内置；真正按国家定制走 prompts/<country>/aesthetics.yaml）
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COUNTRY_AESTHETICS: Dict[str, Dict[str, str]] = {
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"US": {
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"label": "美国",
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"style_hint": "Bold vintage / retro Americana, humorous and punchy, high-contrast poster style.",
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"art_style": "bold vintage retro Americana poster, clean vector",
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"palette": "muted retro Americana palette: faded navy, cream, burnt orange, distressed black, mustard",
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},
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"GB": {
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"label": "英国",
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"style_hint": "Witty, self-deprecating British humor; punk / bold lettering; tea-and-rain mood.",
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"art_style": "witty punk zine illustration, bold hand-lettered",
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"palette": "punk-zine palette: high-contrast black, off-white, safety-orange, oxblood red, slate",
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},
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"JP": {
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"label": "日本",
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"style_hint": "Kawaii / minimalist / anime-inspired; clean lines, Tokyo street edge, original kanji accents.",
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"art_style": "kawaii minimalist flat illustration, clean lines",
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"palette": "soft kawaii palette: pastel pink, mint, butter yellow, soft lavender, cream",
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},
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"AU": {
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"label": "澳大利亚",
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"style_hint": "Sunny, laid-back coastal vibe; surf / beach / BBQ; relaxed and warm.",
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"art_style": "sunny laid-back coastal illustration, relaxed",
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"palette": "sunny coastal palette: sky blue, sand beige, coral, sun-bleached white, turquoise",
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},
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}
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def derive_style_palette(
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topic: str,
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country: str,
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extra_rules: Optional[List[Dict[str, str]]] = None,
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category: Optional[str] = None,
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apply_twist: bool = True,
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) -> Tuple[str, str]:
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"""根据热点词语义确定性地推导 (art_style, color_palette)。
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优先级：① 国家 extra 规则（最具体）→ ② 全局关键词规则 → ③ 类别兜底 → ④ 国家基调最末兜底。
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结果与具体词一一对应，跨词不同、同词稳定。apply_twist=True 时追加确定性风格微调。
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"""
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from .classify import classify
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tl = (topic or "").lower()
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cat = category or classify(topic)
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# ① 国家专属 extra 规则（来自 prompts/<country>/aesthetics.yaml）
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for rule in (extra_rules or []):
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kws = [k.lower() for k in (rule.get("keywords") or [])]
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if kws and _kw_pattern(kws).search(tl):
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art = rule.get("art_style", "clean vector illustration")
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pal = rule.get("color_palette", "balanced modern palette")
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if apply_twist:
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art = _apply_twist(art, topic)
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return art, pal
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# ② 全局关键词规则（单词边界匹配，具体规则优先于通用 retro/vintage）
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for pat, art, pal in _RULE_PATTERNS:
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if pat.search(tl):
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if apply_twist:
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art = _apply_twist(art, topic)
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return art, pal
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# ③ 类别兜底
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art = STYLE_BY_CATEGORY.get(cat, "clean vector illustration")
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pal = PALETTE_BY_CATEGORY.get(cat, "balanced modern color palette")
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# ④ 国家基调最末兜底（极少走到）
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if art == "clean vector illustration":
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a = COUNTRY_AESTHETICS.get(country, {})
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art = a.get("art_style", art)
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pal = a.get("palette", pal)
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if apply_twist:
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art = _apply_twist(art, topic)
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return art, pal
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def _apply_twist(art: str, topic: str) -> str:
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"""确定性地给 art_style 追加一个技法微调（同词稳定、跨词不同）。"""
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twist = STYLE_TWISTS[_stable_hash(topic) % len(STYLE_TWISTS)]
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return f"{art}, {twist}"
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# 构图变体池：与风格 twist 同理，确定性地为每条设计选一个差异化构图，打破千篇一律。
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COMPOSITION_VARIANTS: List[str] = [
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"centered circular emblem with balanced negative space",
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"all-over repeat pattern with a centered focal badge",
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"side-profile hero with motion lines",
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"symmetrical mandala emblem, centered",
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"scattered botanical border framing a centered wreath",
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"bold central emblem with spray texture",
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"layered landscape with a centered focal subject",
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"centered badge inside a decorative ring",
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"dynamic diagonal composition with speed streaks",
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"tiled geometric grid with a centered motif",
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"vertical stack emblem with a banner ribbon",
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"framed portrait window with ornate border",
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]
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def derive_composition(topic: str, category: Optional[str] = None) -> str:
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"""确定性地推导构图（同词稳定、跨词不同），避免所有设计共用同一句构图。"""
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return COMPOSITION_VARIANTS[_stable_hash(topic) % len(COMPOSITION_VARIANTS)]
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# 图像生成策略敏感词 → 安全等效描述（生成提示词前清洗，降低内容政策拦截）
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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 sanitize_image_prompt(prompt: str) -> str:
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"""清洗生图提示词：
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1) 删除一切背景描述（官方要求：透明背景由 background="transparent" 参数控制，
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提示词中不得提到背景，否则无法正常生成透明背景）；
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2) 敏感词替换为安全等效描述（避免内容政策拦截）。
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"""
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import re
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out = prompt or ""
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# 1) 删除背景短语（中英文都处理）
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for pat in (r",\s*isolated on (transparent|pure white|white) background\b",
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r"\s+isolated on (transparent|pure white|white) background\b",
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r",\s*(transparent|white) background\b",
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r"\s+on a (transparent|white|pure white) background\b",
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r",\s*no background scene\b", r",\s*no background\b", r",\s*plain (transparent|white) background\b"):
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out = re.sub(pat, "", out, flags=re.IGNORECASE)
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# 1.5) 删除内容策略触发段（旧模板残留的安全规则说明：no politics/religion/hate/violence/sexual 等
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# 一旦出现在生图提示词中，图像 API 直接 content_policy_violation）
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out = re.sub(r';?\s*any text must be safe[^;]*?(?:no gibberish|gibberish|\.[^,;]*)', '', out, flags=re.IGNORECASE)
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out = re.sub(r'no (politics|religion|hate|violence|sexual|nude|nudity|bikini|nsfw|racist|profanity|swearing|adult content)s?,?', '', out, flags=re.IGNORECASE)
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out = re.sub(r'(politics|religion|hate|violence|sexual content|nudity|nsfw)', '', out, flags=re.IGNORECASE)
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# 2) 敏感词替换
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low = out.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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out = re.sub(rf"\b{re.escape(k)}\b", v, out, flags=re.IGNORECASE)
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low = out.lower()
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# 3) 清理多余空格/逗号
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out = re.sub(r",\s*,+", ",", out)
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out = re.sub(r"\s{2,}", " ", out).strip(" ,")
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return out
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# review（疑似商标/受保护主题）简报的「原创化魔改」引导：只做风格参考，禁止复刻商标/品牌/角色
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REVIEW_REBRAND_HINT = (
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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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)
|
||
|
||
|
||
def ensure_rebrand_hint(brief: dict, prompt: str) -> str:
|
||
"""review 简报生成设计时兜底追加原创化魔改引导（旧缓存简报未注入时补上）。"""
|
||
if str(brief.get("risk_level", "")).strip().lower() == "review" \
|
||
and "IMPORTANT: this theme is ONLY" not in (prompt or ""):
|
||
return (prompt or "") + REVIEW_REBRAND_HINT
|
||
return prompt or ""
|