#!/usr/bin/env python3 """ composition.py -- Generate per-collection composition breakdown for CatholicCorpus. Produces stats/composition.md with: file count, byte size, token count (if available), primary language(s), file formats present, and proportion of text-extractable content. Usage: python3 stats/composition.py Reads from master_manifest.json and (optionally) stats/token_counts.json. """ from __future__ import annotations import json from pathlib import Path SCRIPT_DIR = Path(__file__).resolve().parent CORPUS_ROOT = SCRIPT_DIR.parent MANIFEST = CORPUS_ROOT / "master_manifest.json" TOKEN_COUNTS = SCRIPT_DIR / "token_counts.json" OUTPUT = SCRIPT_DIR / "composition.md" # Known metadata per collection COLLECTION_META = { "01_git_repos": { "label": "Git Repos (CSEL, Aquinas, LXX, Byzantine Text, eBible)", "languages": "Latin, Greek, English, Multilingual", "era": "Mixed (Patristic through Modern)", }, "02_corpus_corporum": { "label": "Corpus Corporum (Patrologia Latina + 29 corpora)", "languages": "Latin (primary), Greek", "era": "Patristic, Medieval, Early Modern", }, "03_gutenberg": { "label": "Project Gutenberg (Catholic classics in English)", "languages": "English", "era": "Mixed", }, "04_direct_downloads": { "label": "Direct Downloads (Vulgate, SBLGNT, Canon Law, Roman Catechism)", "languages": "Latin, Greek, English", "era": "Mixed", }, "05_ccel": { "label": "CCEL (Ante-Nicene/Nicene Fathers, Summa, devotional)", "languages": "English", "era": "Patristic (in translation)", }, "06_catholic_encyclopedia": { "label": "Catholic Encyclopedia (1913, 15 volumes)", "languages": "English", "era": "Modern (reference, 1913)", }, "07_latin_and_franciscan": { "label": "Latin and Franciscan (Anselm, Lombard, Bonaventure, Scotus, Ockham)", "languages": "Latin", "era": "Medieval/Scholastic", }, "08_liturgical_and_hymns": { "label": "Liturgical and Hymns (Divine Office, hymns, encyclicals)", "languages": "Latin (primary), English", "era": "Mixed (liturgical)", }, "09_archive_and_misc": { "label": "Archive and Misc (Trent, Golden Legend, Butler's Lives, Albert)", "languages": "Latin, English", "era": "Medieval, Counter-Reformation", }, "11_catholic_bible": { "label": "Catholic Bible (Douay-Rheims, Haydock, Lapide)", "languages": "English, Latin", "era": "Mixed (scripture)", }, "12_english_catholic_thinkers": { "label": "English Catholic Thinkers (Newman, Chesterton, Belloc)", "languages": "English", "era": "Modern (19th-20th century)", }, "13_mystics": { "label": "Mystics (Therese, Julian, Catherine, Ignatius)", "languages": "English (translations)", "era": "Counter-Reformation, Medieval", }, "14_liturgical_expansion": { "label": "Liturgical Expansion (Liber Usualis, Missale, Rituale, Breviarium)", "languages": "Latin", "era": "Mixed (liturgical, Tridentine)", }, "15_late_scholastics": { "label": "Late Scholastics (Suarez, Bellarmine, Cajetan, a Lapide, Banez, Molina)", "languages": "Latin", "era": "Counter-Reformation/Early Modern", }, "16_patrologia_graeca": { "label": "Patrologia Graeca (159 of 161 Migne PG volumes)", "languages": "Greek, Latin", "era": "Patristic", }, "17_modern_magisterium": { "label": "Modern Magisterium (Vatican II, CCC, Canon Law, encyclicals)", "languages": "English, Latin", "era": "Modern (20th-21st century)", }, } # Extensions considered text-extractable TEXT_EXTRACTABLE = {".txt", ".xml", ".html", ".htm", ".epub"} def human_bytes(n: int) -> str: for unit in ("B", "KB", "MB", "GB", "TB"): if n < 1024 or unit == "TB": return f"{n:.1f} {unit}" if unit != "B" else f"{n} B" n /= 1024 return f"{n:.1f} TB" def main(): if not MANIFEST.exists(): print("Error: master_manifest.json not found. Run build_manifest.py first.") return manifest = json.loads(MANIFEST.read_text()) # Load token counts if available tokens_available = False token_data = {} if TOKEN_COUNTS.exists(): tc = json.loads(TOKEN_COUNTS.read_text()) token_data = tc.get("by_collection", {}) tokens_available = True # Build composition table md = [] md.append("# CatholicCorpus Composition Breakdown\n") md.append(f"Generated from `master_manifest.json` ({manifest['generated_at_iso']})") if tokens_available: md.append(f" and `token_counts.json`") md.append("\n") # Summary totals = manifest["totals"] md.append("## Summary\n") md.append(f"- **Total files:** {totals['file_count']:,}") md.append(f"- **Content files:** {totals['content_count']:,}") md.append(f"- **Total size:** {totals['total_human']}") if tokens_available: total_tokens = sum(v.get("tokens", 0) for v in token_data.values()) md.append(f"- **Total tokens (GPT-2):** {total_tokens:,}") md.append("") # Per-collection table md.append("## Per-Collection Breakdown\n") header = "| Collection | Files | Content | Size | Formats | Languages | Era |" sep = "|------------|------:|--------:|-----:|---------|-----------|-----|" if tokens_available: header = "| Collection | Files | Content | Size | Tokens | Formats | Languages | Era |" sep = "|------------|------:|--------:|-----:|-------:|---------|-----------|-----|" md.append(header) md.append(sep) for task_name in sorted(manifest["tasks"].keys()): task = manifest["tasks"][task_name] meta = COLLECTION_META.get(task_name, {}) # Determine formats present exts = set() text_extractable_count = 0 for f in task.get("files", []): ext = f.get("ext", "") if ext: exts.add(ext) if ext in TEXT_EXTRACTABLE: text_extractable_count += 1 formats_str = ", ".join(sorted(exts)[:5]) # Top 5 extensions if len(exts) > 5: formats_str += f" (+{len(exts)-5})" langs = meta.get("languages", "Unknown") era = meta.get("era", "Unknown") if tokens_available and task_name in token_data: tokens = token_data[task_name].get("tokens", 0) md.append( f"| {task_name} | {task['file_count']:,} | {task['content_count']:,} | " f"{task['total_human']} | {tokens:,} | {formats_str} | {langs} | {era} |" ) else: md.append( f"| {task_name} | {task['file_count']:,} | {task['content_count']:,} | " f"{task['total_human']} | {formats_str} | {langs} | {era} |" ) md.append("") # Text-extractable proportion md.append("## Text-Extractable Content\n") md.append("Files with extensions that can be directly converted to plain text (.txt, .xml, .html, .htm, .epub) vs. files requiring OCR (.pdf) or other processing:\n") total_content = totals["content_count"] md.append("| Category | Files | Percentage |") md.append("|----------|------:|-----------:|") # Count across all tasks extractable = 0 pdf_count = 0 other_count = 0 for task in manifest["tasks"].values(): for f in task.get("files", []): if not f.get("is_content"): continue ext = f.get("ext", "") if ext in TEXT_EXTRACTABLE: extractable += 1 elif ext == ".pdf": pdf_count += 1 else: other_count += 1 md.append(f"| Directly extractable (.txt, .xml, .html, .htm, .epub) | {extractable:,} | {extractable/total_content*100:.1f}% |") md.append(f"| Requires text extraction (.pdf) | {pdf_count:,} | {pdf_count/total_content*100:.1f}% |") md.append(f"| Other formats | {other_count:,} | {other_count/total_content*100:.1f}% |") md.append("") OUTPUT.write_text("\n".join(md)) print(f"Wrote {OUTPUT}") if __name__ == "__main__": main()