add 6 skills to repo + update skill-review for xiaoming

- Add code-interpreter, kokoro-tts, remotion-best-practices,
  research-to-paper-slides, summarize, tavily-tool to source repo
- skill-review: add main/xiaoming agent mapping in handler.ts + SKILL.md
- tts-voice: handler.ts updates from agent workspace

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
This commit is contained in:
2026-03-13 22:59:31 +08:00
parent da6e932d51
commit f1a6df4ca4
24 changed files with 1690 additions and 0 deletions

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#!/usr/bin/env python3
import argparse
import glob
import os
import shutil
import subprocess
import tempfile
from pathlib import Path
def find_browser() -> str:
# Playwright Chromium (most reliable on this workstation)
for pw in sorted(glob.glob(os.path.expanduser('~/.cache/ms-playwright/chromium-*/chrome-linux/chrome')), reverse=True):
if os.access(pw, os.X_OK):
return pw
for name in ['chromium-browser', 'chromium', 'google-chrome', 'google-chrome-stable']:
path = shutil.which(name)
if path:
return path
raise SystemExit('No supported browser found for PDF export. Install Playwright Chromium: npx playwright install chromium')
def main() -> int:
parser = argparse.ArgumentParser(description='Export deck HTML to PDF using headless Chromium')
parser.add_argument('--html', required=True)
parser.add_argument('--pdf', required=True)
args = parser.parse_args()
html_path = Path(args.html).expanduser().resolve()
pdf_path = Path(args.pdf).expanduser().resolve()
pdf_path.parent.mkdir(parents=True, exist_ok=True)
if not html_path.exists():
raise SystemExit(f'Missing HTML input: {html_path}')
browser = find_browser()
with tempfile.TemporaryDirectory(prefix='rtps-chromium-') as profile_dir:
cmd = [
browser,
'--headless',
'--disable-gpu',
'--no-sandbox',
f'--user-data-dir={profile_dir}',
f'--print-to-pdf={pdf_path}',
html_path.as_uri(),
]
subprocess.run(cmd, check=True)
print(str(pdf_path))
return 0
if __name__ == '__main__':
raise SystemExit(main())

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#!/usr/bin/env python3
import argparse
import json
import html
import shutil
from pathlib import Path
from typing import Any
MODES = {'academic', 'business', 'pitch'}
LEVELS = {'v2', 'v3', 'v4'}
LEVEL_NOTES = {
'v2': '基礎交付版paper/slides/speaker-notes/deck',
'v3': '洞察強化版v2 + insights + 每張圖逐頁解讀',
'v4': '正式交付版v3 + 更正式 deck 視覺 + PDF-ready 工作流',
}
def read_json(path: Path) -> dict[str, Any]:
return json.loads(path.read_text(encoding='utf-8'))
def read_text(path: Path) -> str:
return path.read_text(encoding='utf-8')
def find_plots(analysis_dir: Path) -> list[Path]:
return sorted([p for p in analysis_dir.glob('*.png') if p.is_file()])
def build_key_findings(summary: dict[str, Any]) -> list[str]:
findings: list[str] = []
for name, meta in summary.get('columnProfiles', {}).items():
if 'mean' in meta and meta.get('mean') is not None:
findings.append(f"欄位「{name}」平均值約為 {meta['mean']:.2f},總和約為 {meta['sum']:.2f}")
elif meta.get('topValues'):
top = meta['topValues'][0]
findings.append(f"欄位「{name}」最常見值為「{top['value']}」,出現 {top['count']} 次。")
if len(findings) >= 6:
break
if not findings:
findings.append('資料已完成初步整理,但尚缺少足夠特徵以自動歸納具體發現。')
return findings
def build_method_text(summary: dict[str, Any]) -> str:
rows = summary.get('rows', 0)
cols = summary.get('columns', 0)
parsed_dates = summary.get('parsedDateColumns', [])
parts = [f"本研究以一份包含 {rows} 筆資料、{cols} 個欄位的資料集作為分析基礎。"]
if parsed_dates:
parts.append(f"其中已自動辨識日期欄位:{', '.join(parsed_dates)}")
parts.append("分析流程包含欄位剖析、數值摘要、類別分布觀察,以及圖表化初步探索。")
return ''.join(parts)
def build_limitations(summary: dict[str, Any], mode: str) -> list[str]:
base = [
'本版本內容依據自動分析結果生成,仍需依情境補充背景、語境與論證細節。',
'目前主要反映描述性分析與初步視覺化結果,尚未自動進行嚴格因果推論或完整驗證。',
]
if mode == 'pitch':
base[0] = '本版本適合作為提案底稿,但對外簡報前仍需補上商業敘事、案例與風險說明。'
elif mode == 'business':
base[0] = '本版本可支援內部決策討論,但正式匯報前仍建議補充商務脈絡與對照基準。'
elif mode == 'academic':
base[0] = '本版本可作為論文或研究報告草稿,但正式提交前仍需補足文獻回顧、研究問題與方法論細節。'
if not summary.get('plots'):
base.append('本次分析未包含圖表產物,因此視覺化證據仍需後續補充。')
return base
def classify_plot(name: str) -> str:
low = name.lower()
if low.startswith('hist_'):
return 'histogram'
if low.startswith('bar_'):
return 'bar'
if low.startswith('line_'):
return 'line'
return 'plot'
def interpret_plot(plot: Path, mode: str) -> dict[str, str]:
kind = classify_plot(plot.name)
base = {
'histogram': {
'title': f'圖表解讀:{plot.name}',
'summary': '這張 histogram 用來觀察數值欄位的分布狀態、集中區域與可能的離群位置。',
'so_what': '若資料分布偏斜或過度集中,後續可考慮分群、分層或補充異常值檢查。',
},
'bar': {
'title': f'圖表解讀:{plot.name}',
'summary': '這張 bar chart 適合比較不同類別或分組之間的量體差異,幫助快速辨識高低落差。',
'so_what': '若類別差異明顯,後續可針對高表現或低表現組別追查原因與策略。',
},
'line': {
'title': f'圖表解讀:{plot.name}',
'summary': '這張 line chart 用於觀察時間序列變化,幫助辨識趨勢、波動與可能轉折點。',
'so_what': '若趨勢持續上升或下降,建議進一步比對外部事件、季節性與干預因素。',
},
'plot': {
'title': f'圖表解讀:{plot.name}',
'summary': '這張圖表提供一個視覺化切面,有助於快速掌握資料重點與分布特徵。',
'so_what': '建議將圖表與主要論點對齊,補上更具體的背景解讀。',
},
}[kind]
if mode == 'pitch':
base['so_what'] = '簡報時應直接說明這張圖支持了哪個主張,以及它如何增加說服力。'
elif mode == 'business':
base['so_what'] = '建議把這張圖對應到 KPI、風險或下一步行動方便管理層做判斷。'
elif mode == 'academic':
base['so_what'] = '建議將這張圖與研究問題、假設或比較基準一起討論,以提升論證完整度。'
return base
def build_insights(summary: dict[str, Any], plots: list[Path], mode: str) -> list[str]:
insights: list[str] = []
numeric = []
categorical = []
for name, meta in summary.get('columnProfiles', {}).items():
if 'mean' in meta and meta.get('mean') is not None:
numeric.append((name, meta))
elif meta.get('topValues'):
categorical.append((name, meta))
for name, meta in numeric[:3]:
insights.append(f"數值欄位「{name}」平均約 {meta['mean']:.2f},範圍約 {meta['min']:.2f}{meta['max']:.2f}")
for name, meta in categorical[:2]:
top = meta['topValues'][0]
insights.append(f"類別欄位「{name}」目前以「{top['value']}」最常見({top['count']} 次),值得作為第一輪聚焦對象。")
if plots:
insights.append(f"本次已生成 {len(plots)} 張圖表,可直接支撐逐頁圖表解讀與口頭報告。")
if mode == 'pitch':
insights.append('對外提案時,建議把最強的一項數據證據前置,讓聽眾先記住價值主張。')
elif mode == 'business':
insights.append('內部決策簡報時,建議把洞察轉成 KPI、優先順序與負責人。')
elif mode == 'academic':
insights.append('學術/研究情境下,建議將洞察進一步轉成研究問題、比較架構與後續驗證方向。')
return insights
def make_insights_md(title: str, mode: str, summary: dict[str, Any], plots: list[Path]) -> str:
insights = build_insights(summary, plots, mode)
plot_notes = [interpret_plot(p, mode) for p in plots]
lines = [f"# {title}Insights", '', f"- 模式:`{mode}`", '']
lines.append('## 關鍵洞察')
lines.extend([f"- {x}" for x in insights])
lines.append('')
if plot_notes:
lines.append('## 圖表解讀摘要')
for note in plot_notes:
lines.append(f"### {note['title']}")
lines.append(f"- 解讀:{note['summary']}")
lines.append(f"- 延伸:{note['so_what']}")
lines.append('')
return '\n'.join(lines).strip() + '\n'
def make_paper(title: str, audience: str, purpose: str, mode: str, level: str, summary: dict[str, Any], report_md: str, plots: list[Path], insights_md: str | None = None) -> str:
findings = build_key_findings(summary)
method_text = build_method_text(summary)
limitations = build_limitations(summary, mode)
plot_refs = '\n'.join([f"- `{p.name}`" for p in plots]) or '- 無'
findings_md = '\n'.join([f"- {x}" for x in findings])
limitations_md = '\n'.join([f"- {x}" for x in limitations])
if mode == 'academic':
sections = f"## 摘要\n\n本文面向{audience},以「{purpose}」為導向,整理目前資料分析結果並形成學術/研究草稿。\n\n## 研究背景與問題意識\n\n本文件根據既有分析產物自動整理,可作為研究報告、論文初稿或研究提案的起點。\n\n## 研究方法\n\n{method_text}\n\n## 研究發現\n\n{findings_md}\n\n## 討論\n\n目前結果可支撐初步描述性討論,後續可進一步補上研究假設、比較對照與方法嚴謹性。\n\n## 限制\n\n{limitations_md}\n\n## 結論\n\n本分析已形成研究性文件的結構基礎,適合進一步擴展為正式研究報告。"
elif mode == 'business':
sections = f"## 執行摘要\n\n本文面向{audience},目的是支援「{purpose}」的商務溝通與內部決策。\n\n## 商務背景\n\n本文件根據既有分析產物自動整理,適合作為內部簡報、策略討論或管理層報告的第一版。\n\n## 分析方法\n\n{method_text}\n\n## 關鍵洞察\n\n{findings_md}\n\n## 商業意涵\n\n目前資料已足以支撐一輪決策討論,建議進一步對照 KPI、目標值與外部環境。\n\n## 風險與限制\n\n{limitations_md}\n\n## 建議下一步\n\n建議針對最具決策價值的指標建立定期追蹤與後續驗證流程。"
else:
sections = f"## Pitch Summary\n\n本文面向{audience},用於支援「{purpose}」的提案、募資或說服型簡報。\n\n## Opportunity\n\n本文件根據既有分析產物自動整理,可作為提案 deck 與口頭簡報的第一版底稿。\n\n## Evidence\n\n{method_text}\n\n## Key Takeaways\n\n{findings_md}\n\n## Why It Matters\n\n目前結果已可形成明確敘事雛形,後續可補上市場機會、競品比較與具體行動方案。\n\n## Risks\n\n{limitations_md}\n\n## Ask / Next Step\n\n建議將數據證據、主張與下一步行動整合成對外一致的提案版本。"
insight_section = ''
if insights_md:
insight_section = f"\n## 洞察摘要\n\n{insights_md}\n"
return f"# {title}\n\n- 模式:`{mode}`\n- 等級:`{level}` — {LEVEL_NOTES[level]}\n- 對象:{audience}\n- 目的:{purpose}\n\n{sections}\n\n## 圖表與視覺化資產\n\n{plot_refs}{insight_section}\n## 附錄:原始自動分析摘要\n\n{report_md}\n"
def make_slides(title: str, audience: str, purpose: str, mode: str, summary: dict[str, Any], plots: list[Path], level: str) -> str:
findings = build_key_findings(summary)
rows = summary.get('rows', 0)
cols = summary.get('columns', 0)
if mode == 'academic':
slides = [
('封面', [f'標題:{title}', f'對象:{audience}', f'目的:{purpose}', f'等級:{LEVEL_NOTES[level]}']),
('研究問題', ['定義研究背景與核心問題', '說明本次分析欲回答的主題']),
('資料概況', [f'資料筆數:{rows}', f'欄位數:{cols}', '已完成基本欄位剖析與摘要']),
('方法', ['描述性統計', '類別分布觀察', '視覺化探索']),
('研究發現', findings[:3]),
('討論', ['解釋主要發現的可能意義', '連結研究問題與資料結果']),
('限制', build_limitations(summary, mode)[:2]),
('後續研究', ['補充文獻回顧', '加入比較基準與進階分析']),
('結論', ['本份簡報可作為研究報告或論文簡報的第一版底稿']),
]
elif mode == 'business':
slides = [
('封面', [f'標題:{title}', f'對象:{audience}', f'目的:{purpose}', f'等級:{LEVEL_NOTES[level]}']),
('決策問題', ['這份分析要支援什麼決策', '為什麼現在需要處理']),
('資料概況', [f'資料筆數:{rows}', f'欄位數:{cols}', '已完成基本資料盤點']),
('分析方法', ['描述性統計', '類別分布觀察', '視覺化探索']),
('關鍵洞察', findings[:3]),
('商業意涵', ['把數據結果轉成管理層可理解的含義', '指出可能影響的目標或 KPI']),
('風險與限制', build_limitations(summary, mode)[:2]),
('建議行動', ['列出近期可執行事項', '定義需要追蹤的指標']),
('結語', ['本份簡報可作為正式管理簡報的第一版底稿']),
]
else:
slides = [
('封面', [f'標題:{title}', f'對象:{audience}', f'目的:{purpose}', f'等級:{LEVEL_NOTES[level]}']),
('痛點 / 機會', ['說明這份分析解決什麼問題', '點出為什麼值得關注']),
('證據基礎', [f'資料筆數:{rows}', f'欄位數:{cols}', '已完成資料摘要與圖表探索']),
('方法', ['描述性統計', '類別觀察', '關鍵圖表整理']),
('核心亮點', findings[:3]),
('為什麼重要', ['連結價值、影響與說服力', '把發現轉成可傳達的敘事']),
('風險', build_limitations(summary, mode)[:2]),
('Next Step / Ask', ['明確提出下一步', '對齊資源、合作或決策需求']),
('結語', ['本份 deck 可作為提案或募資簡報的第一版底稿']),
]
parts = [f"# {title}|簡報稿\n\n- 模式:`{mode}`\n- 等級:`{level}` — {LEVEL_NOTES[level]}\n"]
slide_no = 1
for heading, bullets in slides:
parts.append(f"## Slide {slide_no}{heading}")
parts.extend([f"- {x}" for x in bullets])
parts.append('')
slide_no += 1
if level in {'v3', 'v4'} and plots:
for plot in plots:
note = interpret_plot(plot, mode)
parts.append(f"## Slide {slide_no}{note['title']}")
parts.append(f"- 圖檔:{plot.name}")
parts.append(f"- 解讀:{note['summary']}")
parts.append(f"- 延伸:{note['so_what']}")
parts.append('')
slide_no += 1
return '\n'.join(parts).strip() + '\n'
def make_speaker_notes(title: str, mode: str, summary: dict[str, Any], plots: list[Path], level: str) -> str:
findings = build_key_findings(summary)
findings_md = '\n'.join([f"- {x}" for x in findings])
opener = {
'academic': '先交代研究背景、研究問題與資料來源,再說明這份內容是研究草稿第一版。',
'business': '先講這份分析支援哪個決策,再交代這份內容的管理價值與時間敏感性。',
'pitch': '先抓住聽眾注意力,說明痛點、機會與這份資料為何值得相信。',
}[mode]
closer = {
'academic': '結尾時回到研究限制與後續研究方向。',
'business': '結尾時回到建議行動與追蹤機制。',
'pitch': '結尾時回到 ask、資源需求與下一步承諾。',
}[mode]
parts = [
f"# {title}Speaker Notes",
'',
f"- 模式:`{mode}`",
f"- 等級:`{level}` — {LEVEL_NOTES[level]}",
'',
'## 開場',
f"- {opener}",
'',
'## 重點提示',
findings_md,
'',
]
if level in {'v3', 'v4'} and plots:
parts.extend(['## 逐圖口頭提示', ''])
for plot in plots:
note = interpret_plot(plot, mode)
parts.append(f"### {plot.name}")
parts.append(f"- {note['summary']}")
parts.append(f"- {note['so_what']}")
parts.append('')
parts.extend(['## 收尾建議', f"- {closer}", '- 針對最重要的一張圖,多講一層其背後的意義與行動建議。', ''])
return '\n'.join(parts)
def make_deck_html(title: str, audience: str, purpose: str, slides_md: str, plots: list[Path], mode: str, level: str) -> str:
if level == 'v4':
theme = {
'academic': {'primary': '#0f172a', 'accent': '#334155', 'bg': '#eef2ff', 'hero': 'linear-gradient(135deg,#0f172a 0%,#1e293b 55%,#475569 100%)'},
'business': {'primary': '#0b3b66', 'accent': '#1d4ed8', 'bg': '#eff6ff', 'hero': 'linear-gradient(135deg,#0b3b66 0%,#1d4ed8 60%,#60a5fa 100%)'},
'pitch': {'primary': '#4c1d95', 'accent': '#7c3aed', 'bg': '#faf5ff', 'hero': 'linear-gradient(135deg,#4c1d95 0%,#7c3aed 60%,#c084fc 100%)'},
}[mode]
primary = theme['primary']
accent = theme['accent']
bg = theme['bg']
hero = theme['hero']
plot_map = {p.name: p for p in plots}
else:
primary = '#1f2937'
accent = '#2563eb'
bg = '#f6f8fb'
hero = None
plot_map = {p.name: p for p in plots}
slide_blocks = []
current = []
current_title = None
for line in slides_md.splitlines():
if line.startswith('## Slide '):
if current_title is not None:
slide_blocks.append((current_title, current))
current_title = line.replace('## ', '', 1)
current = []
elif line.startswith('- 模式:') or line.startswith('- 等級:') or line.startswith('# '):
continue
else:
current.append(line)
if current_title is not None:
slide_blocks.append((current_title, current))
sections = []
for heading, body in slide_blocks:
body_html = []
referenced_plot = None
for line in body:
line = line.strip()
if not line:
continue
if line.startswith('- 圖檔:'):
plot_name = line.replace('- 圖檔:', '', 1).strip()
referenced_plot = plot_map.get(plot_name)
body_html.append(f"<li>{html.escape(line[2:])}</li>")
elif line.startswith('- '):
body_html.append(f"<li>{html.escape(line[2:])}</li>")
else:
body_html.append(f"<p>{html.escape(line)}</p>")
img_html = ''
if referenced_plot and level in {'v3', 'v4'}:
img_html = f"<div class='plot-single'><img src='{html.escape(referenced_plot.name)}' alt='{html.escape(referenced_plot.name)}' /><div class='plot-caption'>圖:{html.escape(referenced_plot.name)}</div></div>"
list_items = ''.join(x for x in body_html if x.startswith('<li>'))
paras = ''.join(x for x in body_html if x.startswith('<p>'))
list_html = f"<ul>{list_items}</ul>" if list_items else ''
if level == 'v4':
sections.append(
f"<section class='slide'><div class='slide-top'><div class='eyebrow'>{html.escape(mode.upper())}</div>"
f"<div class='page-tag'>{html.escape(heading.split('')[0])}</div></div><h2>{html.escape(heading)}</h2>{paras}{list_html}{img_html}</section>"
)
else:
sections.append(f"<section class='slide'><h2>{html.escape(heading)}</h2>{paras}{list_html}{img_html}</section>")
if level == 'v4':
css = f"""
@page {{ size: A4 landscape; margin: 0; }}
@media print {{
body {{ background: #fff; padding: 0; }}
.slide {{ box-shadow: none; margin: 0; min-height: 100vh; border-radius: 0; page-break-after: always; page-break-inside: avoid; border-top-width: 16px; border-top-style: solid; border-top-color: {accent}; }}
.hero {{ box-shadow: none; margin: 0; min-height: 100vh; border-radius: 0; }}
}}
body {{ font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, 'Helvetica Neue', Arial, 'Noto Sans CJK TC', sans-serif; background: {bg}; margin: 0; padding: 32px; color: {primary}; }}
.hero {{ max-width: 1180px; margin: 0 auto 32px; padding: 56px 64px; border-radius: 32px; background: {hero}; color: white; box-shadow: 0 32px 64px rgba(15,23,42,.15); display: flex; flex-direction: column; justify-content: center; min-height: 500px; }}
.hero h1 {{ margin: 12px 0 20px; font-size: 52px; line-height: 1.2; letter-spacing: -0.02em; font-weight: 800; text-wrap: balance; }}
.hero p {{ margin: 8px 0; font-size: 20px; opacity: .9; font-weight: 400; }}
.hero-meta {{ display: grid; grid-template-columns: repeat(auto-fit, minmax(200px, 1fr)); gap: 16px; margin-top: 48px; }}
.hero-card {{ background: rgba(255,255,255,.1); border: 1px solid rgba(255,255,255,.2); border-radius: 20px; padding: 20px 24px; backdrop-filter: blur(10px); }}
.hero-card strong {{ display: block; font-size: 14px; text-transform: uppercase; letter-spacing: 0.05em; opacity: 0.8; margin-bottom: 6px; }}
.slide {{ background: #fff; border-radius: 32px; padding: 48px 56px; margin: 0 auto 32px; max-width: 1180px; min-height: 660px; box-shadow: 0 16px 48px rgba(15,23,42,.08); page-break-after: always; border-top: 16px solid {accent}; position: relative; overflow: hidden; display: flex; flex-direction: column; }}
.slide::after {{ content: ''; position: absolute; right: -80px; top: -80px; width: 240px; height: 240px; background: radial-gradient(circle, {bg} 0%, rgba(255,255,255,0) 70%); pointer-events: none; }}
.slide-top {{ display: flex; justify-content: space-between; align-items: center; margin-bottom: 24px; z-index: 1; }}
h1, h2 {{ margin-top: 0; font-weight: 700; }}
h2 {{ font-size: 36px; margin-bottom: 24px; color: {primary}; letter-spacing: -0.01em; }}
.slide p {{ font-size: 20px; line-height: 1.6; color: #334155; margin-bottom: 16px; }}
.slide ul {{ line-height: 1.6; font-size: 22px; padding-left: 28px; color: #1e293b; margin-top: 8px; flex-grow: 1; }}
.slide li {{ position: relative; padding-left: 8px; }}
.slide li + li {{ margin-top: 14px; }}
.slide li::marker {{ color: {accent}; font-weight: bold; }}
.eyebrow {{ display: inline-flex; align-items: center; padding: 8px 16px; border-radius: 999px; background: {bg}; color: {accent}; font-weight: 800; font-size: 13px; letter-spacing: .1em; box-shadow: 0 2px 8px rgba(0,0,0,0.04); }}
.page-tag {{ color: #94a3b8; font-size: 14px; font-weight: 700; text-transform: uppercase; letter-spacing: 0.05em; }}
.plot-single {{ margin-top: auto; text-align: center; padding-top: 24px; position: relative; display: flex; flex-direction: column; align-items: center; justify-content: center; }}
.plot-single img {{ max-width: 100%; max-height: 380px; border: 1px solid #e2e8f0; border-radius: 20px; background: #f8fafc; box-shadow: 0 12px 32px rgba(15,23,42,.06); padding: 8px; }}
.plot-caption {{ margin-top: 14px; font-size: 15px !important; color: #64748b !important; font-style: italic; text-align: center; background: #f1f5f9; padding: 6px 16px; border-radius: 999px; }}
""".strip()
hero_html = (
f"<div class='hero'><div class='eyebrow'>{html.escape(mode.upper())}</div>"
f"<h1>{html.escape(title)}</h1><p>適用對象:{html.escape(audience)}</p><p>目的:{html.escape(purpose)}</p>"
f"<div class='hero-meta'>"
f"<div class='hero-card'><strong>等級</strong><br>{html.escape(level)}{html.escape(LEVEL_NOTES[level])}</div>"
f"<div class='hero-card'><strong>圖表數量</strong><br>{len(plots)}</div>"
f"<div class='hero-card'><strong>輸出定位</strong><br>正式 deck / PDF-ready</div>"
f"</div></div>"
)
else:
css = f"""
body {{ font-family: Arial, 'Noto Sans CJK TC', sans-serif; background: {bg}; margin: 0; padding: 24px; color: {primary}; }}
.hero {{ max-width: 1100px; margin: 0 auto 24px; padding: 8px 6px; }}
.slide {{ background: #fff; border-radius: 18px; padding: 32px; margin: 0 auto 24px; max-width: 1100px; box-shadow: 0 8px 28px rgba(0,0,0,.08); page-break-after: always; border-top: 10px solid {accent}; }}
h1, h2 {{ margin-top: 0; }}
h1 {{ font-size: 40px; }}
ul {{ line-height: 1.7; }}
.plot-single {{ margin-top: 18px; text-align: center; }}
img {{ max-width: 100%; border: 1px solid #ddd; border-radius: 12px; background: #fff; }}
.plot-caption {{ margin-top: 10px; font-size: 14px; color: #6b7280; font-style: italic; }}
""".strip()
hero_html = (
f"<div class='hero'><h1>{html.escape(title)}</h1><p>對象:{html.escape(audience)}</p>"
f"<p>目的:{html.escape(purpose)}</p><p>等級:{html.escape(level)}{html.escape(LEVEL_NOTES[level])}</p></div>"
)
return (
"<!doctype html><html><head><meta charset='utf-8'>"
f"<title>{html.escape(title)}</title><style>{css}</style></head><body>"
+ hero_html
+ ''.join(sections)
+ "</body></html>"
)
def main() -> int:
parser = argparse.ArgumentParser(
description='Generate paper/slides bundle from analysis outputs',
epilog=(
'Levels: '
'v2=基礎交付版paper/slides/speaker-notes/deck '
'v3=洞察強化版v2 + insights + 每張圖逐頁解讀); '
'v4=正式交付版v3 + 更正式 deck 視覺 + PDF-ready 工作流)'
),
)
parser.add_argument('--analysis-dir', required=True)
parser.add_argument('--output-dir', required=True)
parser.add_argument('--title', default='研究分析草稿')
parser.add_argument('--audience', default='決策者')
parser.add_argument('--purpose', default='研究報告')
parser.add_argument('--mode', default='business', choices=sorted(MODES))
parser.add_argument(
'--level',
default='v4',
choices=sorted(LEVELS),
help='輸出等級v2=基礎交付版v3=洞察強化版v4=正式交付版(預設)',
)
args = parser.parse_args()
analysis_dir = Path(args.analysis_dir).expanduser().resolve()
output_dir = Path(args.output_dir).expanduser().resolve()
output_dir.mkdir(parents=True, exist_ok=True)
summary_path = analysis_dir / 'summary.json'
report_path = analysis_dir / 'report.md'
if not summary_path.exists():
raise SystemExit(f'Missing summary.json in {analysis_dir}')
if not report_path.exists():
raise SystemExit(f'Missing report.md in {analysis_dir}')
summary = read_json(summary_path)
report_md = read_text(report_path)
plots = find_plots(analysis_dir)
insights_md = make_insights_md(args.title, args.mode, summary, plots) if args.level in {'v3', 'v4'} else None
paper_md = make_paper(args.title, args.audience, args.purpose, args.mode, args.level, summary, report_md, plots, insights_md)
slides_md = make_slides(args.title, args.audience, args.purpose, args.mode, summary, plots, args.level)
speaker_notes = make_speaker_notes(args.title, args.mode, summary, plots, args.level)
deck_html = make_deck_html(args.title, args.audience, args.purpose, slides_md, plots, args.mode, args.level)
for plot in plots:
dest = output_dir / plot.name
if dest != plot:
shutil.copy2(plot, dest)
(output_dir / 'paper.md').write_text(paper_md, encoding='utf-8')
(output_dir / 'slides.md').write_text(slides_md, encoding='utf-8')
(output_dir / 'speaker-notes.md').write_text(speaker_notes, encoding='utf-8')
(output_dir / 'deck.html').write_text(deck_html, encoding='utf-8')
if insights_md:
(output_dir / 'insights.md').write_text(insights_md, encoding='utf-8')
manifest_outputs = {
'paper': str(output_dir / 'paper.md'),
'slides': str(output_dir / 'slides.md'),
'speakerNotes': str(output_dir / 'speaker-notes.md'),
'deckHtml': str(output_dir / 'deck.html'),
}
if insights_md:
manifest_outputs['insights'] = str(output_dir / 'insights.md')
manifest = {
'title': args.title,
'audience': args.audience,
'purpose': args.purpose,
'mode': args.mode,
'level': args.level,
'levelNote': LEVEL_NOTES[args.level],
'analysisDir': str(analysis_dir),
'outputs': manifest_outputs,
'plots': [str(p) for p in plots],
}
(output_dir / 'bundle.json').write_text(json.dumps(manifest, ensure_ascii=False, indent=2), encoding='utf-8')
print(json.dumps(manifest, ensure_ascii=False, indent=2))
return 0
if __name__ == '__main__':
raise SystemExit(main())