Initial toolkit: scripts, references, skills, and term database

2026-07-10 21:01:02 +08:00
commit ac9e6e3d1f
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+"""Generate bilingual.dj from DOCX manuscript only (no PDF).
+Source: Chinese from DOCX. Target: English from DOCX.
+"""
+import re, subprocess
+from pathlib import Path
+
+ROOT = Path(__file__).resolve().parent.parent
+DOCX = ROOT / "translate-files/佛教徒的人生态度/定稿 佛教徒的人生态度 善鑫慧炬照禅道靖妙一观轩慈德20260527.docx"
+OUT_DIR = ROOT / "translate-files/佛教徒的人生态度"
+
+def has_cjk(s):
+    return any('\u4e00' <= c <= '\u9fff' for c in s)
+
+def pandoc(path):
+    r = subprocess.run(['pandoc', path, '-f', 'docx', '-t', 'plain', '--wrap=none'],
+                       capture_output=True, text=True)
+    return r.stdout
+
+def extract_pairs(text):
+    """Return [(cn_para, en_para), ...] from body onwards."""
+    lines = text.split('\n')
+    body_start = None
+    for i, l in enumerate(lines):
+        if '生活在这个世间' in l:
+            body_start = i
+            break
+    pairs = []
+    i = body_start
+    while i < len(lines):
+        cn = lines[i].strip()
+        if not cn or not has_cjk(cn):
+            i += 1
+            continue
+        en = ''
+        if i + 2 < len(lines) and lines[i+1].strip() == '':
+            ec = lines[i+2].strip()
+            if ec and not has_cjk(ec):
+                en = ec
+                i += 3
+            else:
+                i += 1
+        else:
+            i += 1
+            continue
+        pairs.append((cn, en))
+    return pairs
+
+SANSKRIT = [
+    'bodhisattva', 'bodhicitta', 'samsara', 'Dharma', 'karma',
+    'nirvana', 'Sangha', 'sutra', 'Mahayana', 'Sravaka',
+    'Vinaya', 'Lamrim', 'Ksitigarbha', 'Samantabhadra',
+    'Chan', 'Arhatship', 'Theravada',
+]
+
+def apply_fixes(en_text, italicized):
+    """Apply typesetting fixes to English text."""
+    # Fix: "2.How" → "2. How"
+    en_text = re.sub(r'(\d)\.([A-Z][a-z])', r'\1. \2', en_text)
+    # Fix: "said,"When → "said, "When
+    en_text = re.sub(r'(said|says),"', r'\1, "', en_text)
+    # Italicize Sanskrit on first occurrence
+    for term in SANSKRIT:
+        if term not in italicized:
+            pattern = re.compile(r'\b' + re.escape(term) + r'\b')
+            m = pattern.search(en_text)
+            if m:
+                s, e = m.start(), m.end()
+                en_text = en_text[:s] + '*' + en_text[s:e] + '*' + en_text[e:]
+                italicized.add(term)
+    return en_text
+
+def generate(pairs, out_path):
+    italicized = set()
+    lines = []
+    
+    # Title
+    lines.append('# 佛教徒的人生态度')
+    lines.append('# The Life Attitudes of Buddhists')
+    lines.append('')
+    lines.append('------2014年秋讲于第九届菩提静修营')
+    lines.append('---Lecture Given at the 9th Bodhi Meditation Retreat, 2014')
+    lines.append('')
+    lines.append(' 济群法师 ')
+    lines.append('Master Jiqun')
+    lines.append('')
+    
+    # TOC
+    lines.append('- 一、消极还是积极')
+    lines.append('- 二、悲观还是乐观')
+    lines.append('- 三、禁欲还是纵欲')
+    lines.append('- 四、重生还是重死')
+    lines.append('- 五、自利还是利他')
+    lines.append('- 六、出世还是入世')
+    lines.append('- 七、无情还是多情')
+    lines.append('- 八、随缘还是进取')
+    lines.append('- 九、结束语')
+    lines.append('')
+    lines.append('- I. Passive or Proactive')
+    lines.append('- II. Pessimism or Optimism')
+    lines.append('- III. Abstinence or Indulgence')
+    lines.append('- IV. Focus on Life or on Death')
+    lines.append('- V. Benefit Oneself or Benefit Others')
+    lines.append('- VI. Transcending the World or Engaging with the World')
+    lines.append('- VII. To Love or Not to Love')
+    lines.append('- VIII. Adapting to Conditions or Striving for Progress')
+    lines.append('- IX. Conclusion')
+    lines.append('')
+    
+    # Body
+    for cn, en in pairs:
+        en_fixed = apply_fixes(en, italicized)
+        lines.append(cn)
+        lines.append(en_fixed)
+        lines.append('')
+    
+    with open(out_path, 'w') as f:
+        f.write('\n'.join(lines))
+    
+    print(f"Written: {out_path}")
+    print(f"  Paragraphs: {len(pairs)}")
+    print(f"  Sanskrit italicized: {sorted(italicized)}")
+
+if __name__ == '__main__':
+    print("Extracting DOCX...")
+    text = pandoc(DOCX)
+    pairs = extract_pairs(text)
+    print(f"  Pairs: {len(pairs)}")
+    
+    out = OUT_DIR / "bilingual.dj"
+    generate(pairs, out)