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skills/xlsx/templates/palettes.py
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521
skills/xlsx/templates/palettes.py
Executable file
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"""
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xlsx skill — Palette System (Style-First Theme Engine)
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=======================================================
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12 visual styles × scene-based fallback. No domain-color binding.
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Themes (12):
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professional, warm, elegant, creative,
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muji, aesop, kinfolk, celine, bottega, chanel, bloomberg, original_blue
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Matching priority:
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1. Explicit style keywords in prompt → direct match
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2. Scene/content keywords → infer style
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3. No match → professional (safe default)
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Usage:
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from templates.palettes import resolve_palette, get_palette
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# Auto-detect from user prompt
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palette = resolve_palette("帮我做一个温暖的销售月报") # Chinese prompt example
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# → warm palette
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# Manual selection
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palette = get_palette("bottega")
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"""
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from __future__ import annotations
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from typing import Dict, Optional, Tuple
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# ============================================================
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# §1 Palette Data Structure
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# ============================================================
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_Palette = Dict[str, str | list]
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def _make_palette(
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*,
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primary: str,
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primary_light: str,
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accent_positive: str = "1B7D46",
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accent_negative: str = "C0392B",
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accent_warning: str = "D4820A",
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neutral_900: str = "37352F",
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neutral_600: str = "8C8A84",
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neutral_200: str = "E9E9E8",
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neutral_100: str = "F7F7F5",
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neutral_50: str = "FAFAF9",
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neutral_0: str = "FFFFFF",
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header_text: str = "FFFFFF",
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cf_positive_bg: str = "E8F5E9",
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cf_negative_bg: str = "FDEDEC",
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cf_warning_bg: str = "FEF9E7",
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) -> _Palette:
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return {
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"PRIMARY": primary,
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"PRIMARY_LIGHT": primary_light,
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"SECONDARY": primary_light,
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"ACCENT_POSITIVE": accent_positive,
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"ACCENT_NEGATIVE": accent_negative,
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"ACCENT_WARNING": accent_warning,
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"NEUTRAL_900": neutral_900,
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"NEUTRAL_600": neutral_600,
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"NEUTRAL_200": neutral_200,
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"NEUTRAL_100": neutral_100,
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"NEUTRAL_50": neutral_50,
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"NEUTRAL_0": neutral_0,
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"HEADER_TEXT": header_text,
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"CF_POSITIVE_BG": cf_positive_bg,
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"CF_NEGATIVE_BG": cf_negative_bg,
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"CF_WARNING_BG": cf_warning_bg,
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"CHART_COLORS": [primary, accent_positive, accent_warning, accent_negative, neutral_600],
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}
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# ============================================================
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# §2 Legacy Palettes (6 original styles)
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# ============================================================
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# -- Professional: formal business, universal default --
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PROFESSIONAL = _make_palette(
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primary="1B2A4A",
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primary_light="D6E4F0",
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)
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# -- Warm: warm and vibrant, high impact --
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WARM = _make_palette(
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primary="B85C1E",
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primary_light="F5E6D5",
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accent_positive="2E7D32",
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accent_negative="C62828",
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accent_warning="E65100",
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neutral_900="3E2F1F",
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neutral_600="9C8B78",
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neutral_200="EAE0D5",
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neutral_100="F7F2EC",
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neutral_50="FBF8F5",
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)
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# -- Fresh: natural freshness, friendly and light --
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FRESH = _make_palette(
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primary="0E7C6B",
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primary_light="D4F0EB",
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accent_positive="2E9E5A",
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accent_negative="D94F4F",
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accent_warning="E6A023",
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neutral_900="2F3735",
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neutral_600="7A8C87",
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neutral_200="DEE9E6",
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neutral_100="F2F8F6",
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neutral_50="F8FBFA",
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)
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# -- Elegant: premium restraint, minimalist black-white --
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ELEGANT = _make_palette(
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primary="2C2C2C",
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primary_light="E5E5E5",
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accent_positive="4A4A4A",
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accent_negative="8B0000",
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accent_warning="6B6B6B",
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neutral_900="1A1A1A",
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neutral_600="808080",
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neutral_200="D4D4D4",
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neutral_100="F0F0F0",
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neutral_50="F8F8F8",
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)
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# -- Creative: artistic personality, distinctive --
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CREATIVE = _make_palette(
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primary="6C5B7B",
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primary_light="E4DDE8",
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accent_positive="6B9E78",
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accent_negative="C06C7E",
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accent_warning="C4A46A",
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neutral_900="3E3A42",
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neutral_600="9590A0",
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neutral_200="E0DCE4",
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neutral_100="F3F1F5",
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neutral_50="F9F8FA",
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)
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# -- Vibrant: high-saturation multi-color, data display --
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VIBRANT = _make_palette(
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primary="2563EB",
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primary_light="DBEAFE",
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accent_positive="16A34A",
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accent_negative="DC2626",
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accent_warning="EA580C",
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neutral_900="1E293B",
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neutral_600="64748B",
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neutral_200="E2E8F0",
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neutral_100="F1F5F9",
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neutral_50="F8FAFC",
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)
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# ============================================================
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# §3 Premium Palettes (8 curated themes, "high-end feel" series)
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# ============================================================
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# -- A · MUJI breathing feel: restrained minimalism, pencil on paper --
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MUJI = _make_palette(
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primary="2C2C2C",
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primary_light="F2F1EE",
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accent_positive="5B8C5A",
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accent_negative="C25450",
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accent_warning="C9A84C",
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neutral_900="2C2C2C",
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neutral_600="999999",
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neutral_200="E8E6E1",
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neutral_100="F9F9F7",
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neutral_50="FCFCFB",
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header_text="FFFFFF",
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)
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# -- B · Aesop sandstone: earth tones, premium skincare packaging --
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AESOP = _make_palette(
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primary="3D3229",
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primary_light="EDE8E0",
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accent_positive="6B8F71",
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accent_negative="B85C4A",
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accent_warning="C4975A",
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neutral_900="4A4038",
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neutral_600="8C7B6B",
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neutral_200="DDD5C9",
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neutral_100="FAF8F5",
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neutral_50="FDFCFA",
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header_text="FFFFFF",
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)
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# -- C · Dieter Rams Industrial: Less but better --
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DIETER_RAMS = _make_palette(
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primary="1A1A1A",
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primary_light="F7F7F7",
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accent_positive="2D8C6F",
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accent_negative="D44D3C",
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accent_warning="D4920A",
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neutral_900="1A1A1A",
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neutral_600="787878",
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neutral_200="E5E5E5",
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neutral_100="F7F7F7",
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neutral_50="FAFAFA",
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header_text="FFFFFF",
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)
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# -- D · Kinfolk cream publication: independent magazine typography, slow-life aesthetic --
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KINFOLK = _make_palette(
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primary="5C524C",
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primary_light="F0ECE7",
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accent_positive="8DAA7F",
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accent_negative="C9776A",
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accent_warning="C9A96A",
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neutral_900="5C524C",
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neutral_600="BEB5AD",
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neutral_200="EAE5DF",
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neutral_100="FDFCFA",
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neutral_50="FEFDFB",
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header_text="FFFFFF",
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)
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# -- E · Céline pure black-white: monochrome, fashion house coldness --
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CELINE = _make_palette(
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primary="000000",
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primary_light="FAFAFA",
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accent_positive="4A7C59",
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accent_negative="A63D2F",
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accent_warning="8C7A3C",
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neutral_900="000000",
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neutral_600="ADADAD",
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neutral_200="E0E0E0",
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neutral_100="FAFAFA",
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neutral_50="FDFDFD",
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header_text="FFFFFF",
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)
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# -- F · Bottega dark green: Italian luxury, deep forest green --
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BOTTEGA = _make_palette(
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primary="2D4A3E",
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primary_light="E8F0EB",
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accent_positive="5FA67A",
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accent_negative="C2694B",
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accent_warning="B89B4A",
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neutral_900="3B5249",
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neutral_600="7A9B8C",
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neutral_200="D4E3DB",
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neutral_100="F6FAF8",
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neutral_50="F9FCFA",
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header_text="FFFFFF",
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)
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# -- G · Chanel champagne gold: Chanel elegance, beige + golden brown --
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CHANEL = _make_palette(
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primary="1C1917",
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primary_light="E7DFD4",
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accent_positive="A3845B",
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accent_negative="B0413E",
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accent_warning="C4975A",
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neutral_900="1C1917",
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neutral_600="A39888",
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neutral_200="E7E0D5",
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neutral_100="FDFBF7",
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neutral_50="FEFDFB",
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header_text="FFFFFF",
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)
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# -- H · Bloomberg deep blue: financial terminal, high-density data aesthetic --
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BLOOMBERG = _make_palette(
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primary="0D1B2A",
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primary_light="D6E0EB",
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accent_positive="10B981",
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accent_negative="EF4444",
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accent_warning="F59E0B",
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neutral_900="0D1B2A",
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neutral_600="708DA8",
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neutral_200="D6E0EB",
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neutral_100="F4F7FA",
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neutral_50="F8FAFB",
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header_text="FFFFFF",
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)
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# -- Original Blue/Black: original blue-black color scheme (Round 1 #1/#6 style) --
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ORIGINAL_BLUE = _make_palette(
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primary="1B2A4A",
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primary_light="D6E4F0",
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accent_positive="2E8B57",
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accent_negative="EB5757",
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accent_warning="F2994A",
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neutral_900="333333",
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neutral_600="666666",
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neutral_200="E0E0E0",
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neutral_100="F5F5F5",
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neutral_50="FAFAFA",
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)
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# ============================================================
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# §4 Registry
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# ============================================================
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PALETTE_REGISTRY: Dict[str, _Palette] = {
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# Legacy (removed: fresh, vibrant)
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"professional": PROFESSIONAL,
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"warm": WARM,
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"elegant": ELEGANT,
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"creative": CREATIVE,
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# Premium (high-end feel)
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"muji": MUJI,
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"aesop": AESOP,
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# dieter_rams removed — header too dark, poor readability
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"kinfolk": KINFOLK,
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"celine": CELINE,
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"bottega": BOTTEGA,
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"chanel": CHANEL,
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"bloomberg": BLOOMBERG,
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"original_blue": ORIGINAL_BLUE,
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}
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# Aliases for convenience
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PALETTE_REGISTRY["muji_breathing"] = MUJI
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PALETTE_REGISTRY["sandstone"] = AESOP
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PALETTE_REGISTRY["industrial"] = BLOOMBERG # was dieter_rams, redirected
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PALETTE_REGISTRY["cream"] = KINFOLK
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PALETTE_REGISTRY["monochrome"] = CELINE
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PALETTE_REGISTRY["forest_green"] = BOTTEGA
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PALETTE_REGISTRY["champagne"] = CHANEL
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PALETTE_REGISTRY["terminal"] = BLOOMBERG
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PALETTE_REGISTRY["classic_blue"] = ORIGINAL_BLUE
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# ============================================================
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# §5 Keyword Matching (three-step)
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# ============================================================
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# Step 1: Explicit style keywords (highest priority)
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_STYLE_KEYWORDS: Dict[str, list[str]] = {
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"professional": [
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"正式", "商务", "专业", "沉稳", "稳重", "professional", "formal",
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"corporate", "business",
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],
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"warm": [
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"温暖", "活力", "热情", "热烈", "暖色", "温馨", "warm", "energetic",
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"活跃", "热力",
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],
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"elegant": [
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"极简", "简约", "elegant", "minimal",
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"清新", "自然", "清爽", "淡雅", "浅色", "明亮", "fresh",
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"natural", "clean", "light", "素雅",
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"多彩", "丰富", "鲜艳", "vivid", "colorful", "明快",
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"高饱和", "鲜明", "亮色",
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],
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"creative": [
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"文艺", "个性", "紫色", "莫兰迪", "creative", "artistic",
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"柔和", "雅致",
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],
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# Premium themes
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"muji": [
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"muji", "无印", "呼吸感", "白纸", "铅笔", "素净", "无印良品",
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],
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"aesop": [
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"aesop", "沙岩", "大地色", "护肤", "泥土", "陶", "terracotta",
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],
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"bloomberg": [
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"bloomberg", "终端", "深蓝", "terminal", "金融终端", "数据终端",
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"rams", "dieter", "工业", "德系", "包豪斯", "bauhaus", "less but better",
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"工业风",
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],
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"kinfolk": [
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"kinfolk", "奶油", "刊物", "杂志", "慢生活", "latte", "拿铁",
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],
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"celine": [
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"celine", "黑白", "时装", "冷冽", "mono", "纯黑", "monochrome",
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],
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"bottega": [
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"bottega", "墨绿", "深绿", "森林", "橄榄", "绿色", "forest",
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"贵气", "奢牌",
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],
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"chanel": [
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"chanel", "米金", "金棕", "香奈儿", "champagne", "米色", "奶茶",
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],
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"original_blue": [
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"原始", "经典蓝", "classic blue", "original", "传统蓝",
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],
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}
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# Step 2: Scene keywords → infer style (lower priority)
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_SCENE_TO_STYLE: Dict[str, str] = {
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# Sales / Marketing / Ops → warm
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"销售": "warm", "营销": "warm", "运营": "warm", "客户": "warm",
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"业绩": "warm", "KPI": "warm", "GMV": "warm", "转化": "warm",
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"漏斗": "warm", "签约": "warm", "提成": "warm", "电商": "warm",
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"sales": "warm", "marketing": "warm", "campaign": "warm",
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# Education / Medical → muji (was fresh, now removed)
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"成绩": "muji", "考试": "muji", "学生": "muji", "课程": "muji",
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"教育": "muji", "GPA": "muji", "学校": "muji", "班级": "muji",
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"医疗": "muji", "健康": "muji", "患者": "muji", "体检": "muji",
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"医院": "muji", "科室": "muji", "护理": "muji",
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"环保": "muji",
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"education": "muji", "medical": "muji", "health": "muji",
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# Design / Brand → creative
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"设计": "creative", "创意": "creative", "品牌": "creative",
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"UI": "creative", "UX": "creative", "作品": "creative",
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"视觉": "creative", "素材": "creative",
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"design": "creative", "brand": "creative", "portfolio": "creative",
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# Formal / Reporting → professional
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"汇报": "professional", "提案": "professional", "会议": "professional",
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"述职": "professional", "总结": "professional", "报告": "professional",
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"年报": "professional", "季报": "professional", "月报": "professional",
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"财务": "professional", "财报": "professional", "预算": "professional",
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"审计": "professional", "咨询": "professional", "战略": "professional",
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"finance": "professional", "budget": "professional", "report": "professional",
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# Minimal / Premium → elegant
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"premium": "elegant", "luxury": "elegant",
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# Finance data → bloomberg
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"股票": "bloomberg", "基金": "bloomberg", "投资": "bloomberg",
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"交易": "bloomberg", "行情": "bloomberg", "K线": "bloomberg",
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"stock": "bloomberg", "trading": "bloomberg", "portfolio_fin": "bloomberg",
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# High-end / Luxury brand → chanel
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"奢侈": "chanel", "高端": "chanel", "高级": "chanel",
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}
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def _match_style_keywords(text: str) -> Optional[str]:
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"""Step 1: Match explicit style keywords. Returns style name or None."""
|
||||
text_lower = text.lower()
|
||||
best_match = None
|
||||
best_score = 0
|
||||
for style, keywords in _STYLE_KEYWORDS.items():
|
||||
score = sum(1 for kw in keywords if kw.lower() in text_lower)
|
||||
if score > best_score:
|
||||
best_score = score
|
||||
best_match = style
|
||||
return best_match if best_score > 0 else None
|
||||
|
||||
|
||||
def _infer_from_scene(text: str) -> Optional[str]:
|
||||
"""Step 2: Infer style from scene/content keywords. Returns style name or None."""
|
||||
text_lower = text.lower()
|
||||
votes: Dict[str, int] = {}
|
||||
for keyword, style in _SCENE_TO_STYLE.items():
|
||||
if keyword.lower() in text_lower:
|
||||
votes[style] = votes.get(style, 0) + 1
|
||||
if not votes:
|
||||
return None
|
||||
return max(votes, key=votes.get)
|
||||
|
||||
|
||||
# ============================================================
|
||||
# §6 Public API
|
||||
# ============================================================
|
||||
|
||||
def get_palette(style: str = "professional") -> _Palette:
|
||||
"""Get a palette by style name. Falls back to professional."""
|
||||
return PALETTE_REGISTRY.get(style, PROFESSIONAL)
|
||||
|
||||
|
||||
def resolve_palette(prompt: str) -> _Palette:
|
||||
"""
|
||||
Auto-detect style from user prompt (three-step):
|
||||
1. Explicit style keywords → direct match
|
||||
2. Scene/content keywords → infer style
|
||||
3. No match → professional (safe default)
|
||||
"""
|
||||
style = detect_style(prompt)
|
||||
return get_palette(style)
|
||||
|
||||
|
||||
def resolve_palette_with_info(prompt: str) -> Tuple[_Palette, str]:
|
||||
"""Same as resolve_palette but also returns the detected style name."""
|
||||
style = detect_style(prompt)
|
||||
return get_palette(style), style
|
||||
|
||||
|
||||
def detect_style(prompt: str) -> str:
|
||||
"""
|
||||
Detect style from prompt. Three-step priority:
|
||||
1. Explicit style keywords
|
||||
2. Scene keywords → infer style
|
||||
3. Default: professional
|
||||
"""
|
||||
style = _match_style_keywords(prompt)
|
||||
if style:
|
||||
return style
|
||||
style = _infer_from_scene(prompt)
|
||||
if style:
|
||||
return style
|
||||
return "professional"
|
||||
|
||||
|
||||
def list_available() -> list[str]:
|
||||
"""Return list of available style names (no aliases)."""
|
||||
# Return only canonical names, not aliases
|
||||
canonical = [
|
||||
"professional", "warm", "elegant", "creative",
|
||||
"muji", "aesop", "kinfolk", "celine", "bottega",
|
||||
"chanel", "bloomberg", "original_blue",
|
||||
]
|
||||
return canonical
|
||||
|
||||
|
||||
def apply_palette(palette: _Palette, module_globals: dict):
|
||||
"""
|
||||
Inject palette tokens into a module's global namespace.
|
||||
Designed to be called from base.py to override its color constants.
|
||||
"""
|
||||
key_map = {
|
||||
"PRIMARY": "PRIMARY",
|
||||
"PRIMARY_LIGHT": "PRIMARY_LIGHT",
|
||||
"SECONDARY": "SECONDARY",
|
||||
"ACCENT_POSITIVE": "ACCENT_POSITIVE",
|
||||
"ACCENT_NEGATIVE": "ACCENT_NEGATIVE",
|
||||
"ACCENT_WARNING": "ACCENT_WARNING",
|
||||
"NEUTRAL_900": "NEUTRAL_900",
|
||||
"NEUTRAL_600": "NEUTRAL_600",
|
||||
"NEUTRAL_200": "NEUTRAL_200",
|
||||
"NEUTRAL_100": "NEUTRAL_100",
|
||||
"NEUTRAL_50": "NEUTRAL_50",
|
||||
"NEUTRAL_0": "NEUTRAL_0",
|
||||
"CHART_COLORS": "CHART_COLORS",
|
||||
}
|
||||
for palette_key, global_key in key_map.items():
|
||||
if palette_key in palette:
|
||||
module_globals[global_key] = palette[palette_key]
|
||||
Reference in New Issue
Block a user