#!/usr/bin/env python3 """Fast Wiktionary category ingestion for Tier 1 ancient languages. Fetches word lists from Wiktionary category API (fast pagination), then applies transliteration maps for IPA. Does NOT fetch individual pages (too slow for 4000+ entries). Glosses can be enriched later. Iron Rule: All words come from HTTP API responses. No hardcoded data. Languages: Old Norse (non), Gothic (got), Old Church Slavonic (chu), Mycenaean Greek (gmy), Akkadian (akk), Sumerian (sux) Usage: python scripts/ingest_wiktionary_tier1.py [--language ISO] [--dry-run] """ from __future__ import annotations import argparse import json import logging import re import sys import time import unicodedata import urllib.request import urllib.error from pathlib import Path ROOT = Path(__file__).resolve().parent.parent sys.path.insert(0, str(ROOT / "cognate_pipeline" / "src")) sys.path.insert(0, str(ROOT / "scripts")) from cognate_pipeline.normalise.sound_class import ipa_to_sound_class # noqa: E402 from transliteration_maps import transliterate # noqa: E402 logger = logging.getLogger(__name__) LEXICON_DIR = ROOT / "data" / "training" / "lexicons" AUDIT_TRAIL_DIR = ROOT / "data" / "training" / "audit_trails" RAW_DIR = ROOT / "data" / "training" / "raw" USER_AGENT = "PhaiPhon/1.0 (ancient-scripts-datasets)" API_URL = "https://en.wiktionary.org/w/api.php" # Tier 1 language configs TIER1_CONFIGS = { "non": { "name": "Old Norse", "category": "Old_Norse_lemmas", "namespace": 0, }, "got": { "name": "Gothic", "category": "Gothic_lemmas", "namespace": 0, }, "chu": { "name": "Old Church Slavonic", "category": "Old_Church_Slavonic_lemmas", "namespace": 0, }, "gmy": { "name": "Mycenaean Greek", "category": "Mycenaean_Greek_lemmas", "namespace": 0, }, "akk": { "name": "Akkadian", "category": "Akkadian_lemmas", "namespace": 0, }, "sux": { "name": "Sumerian", "category": "Sumerian_lemmas", "namespace": 0, }, } def fetch_all_category_members(category: str, namespace: int = 0) -> list[str]: """Fetch ALL members of a Wiktionary category via API pagination. Returns list of page titles (words). """ members = [] params = { "action": "query", "list": "categorymembers", "cmtitle": f"Category:{category}", "cmtype": "page", "cmnamespace": str(namespace), "cmlimit": "500", "format": "json", } page = 0 while True: page += 1 url = f"{API_URL}?" + "&".join(f"{k}={v}" for k, v in params.items()) req = urllib.request.Request(url, headers={"User-Agent": USER_AGENT}) for attempt in range(3): try: with urllib.request.urlopen(req, timeout=30) as resp: data = json.loads(resp.read().decode("utf-8")) break except (urllib.error.URLError, urllib.error.HTTPError, OSError) as exc: if attempt < 2: time.sleep(2 * (attempt + 1)) else: logger.error("FAILED after 3 retries: %s", exc) return members for m in data.get("query", {}).get("categorymembers", []): members.append(m["title"]) # Check for continuation cont = data.get("continue", {}) if "cmcontinue" in cont: params["cmcontinue"] = cont["cmcontinue"] logger.info(" Page %d: %d members so far...", page, len(members)) time.sleep(0.5) # Be nice to Wiktionary else: break return members def load_existing_words(tsv_path: Path) -> set[str]: """Load existing Word column values.""" existing = set() if tsv_path.exists(): with open(tsv_path, "r", encoding="utf-8") as f: for line in f: if line.startswith("Word\t"): continue word = line.split("\t")[0] existing.add(word) return existing def clean_word(title: str, iso: str) -> str: """Clean a Wiktionary page title into a word.""" word = title.strip() # Remove reconstruction prefix if "/" in word: word = word.split("/")[-1] # Remove leading asterisk (reconstruction marker) word = re.sub(r"^\*+", "", word) # NFC normalize word = unicodedata.normalize("NFC", word) return word def is_valid_word(word: str) -> bool: """Validate a word for inclusion.""" if not word or len(word) > 50: return False # Skip single chars that are just letters if len(word) == 1 and word.isascii(): return False # Skip if looks like a suffix/prefix notation only if word == "-" or word == "--": return False # Skip all-caps ASCII (likely English or Sumerograms) if word.isascii() and word.isupper() and len(word) > 3: return False return True def ingest_language(iso: str, config: dict, dry_run: bool = False) -> dict: """Ingest a single language from Wiktionary category.""" tsv_path = LEXICON_DIR / f"{iso}.tsv" existing = load_existing_words(tsv_path) logger.info("%s (%s): %d existing entries", iso, config["name"], len(existing)) # Fetch all category members logger.info("%s: Fetching category members...", iso) titles = fetch_all_category_members(config["category"], config["namespace"]) logger.info("%s: Got %d category members", iso, len(titles)) # Process entries new_entries = [] audit_trail = [] skipped = 0 for title in titles: word = clean_word(title, iso) if not is_valid_word(word): skipped += 1 continue if word in existing: skipped += 1 continue # Transliterate try: ipa = transliterate(word, iso) except Exception: ipa = word if not ipa: ipa = word # SCA try: sca = ipa_to_sound_class(ipa) except Exception: sca = "" new_entries.append({ "word": word, "ipa": ipa, "sca": sca, }) existing.add(word) # Prevent intra-batch dupes audit_trail.append({ "word": word, "page_title": title, "ipa": ipa, }) logger.info("%s: %d new, %d skipped", iso, len(new_entries), skipped) if dry_run: return { "iso": iso, "name": config["name"], "existing": len(existing) - len(new_entries), "new": len(new_entries), "total": len(existing), "skipped": skipped, } # Write to TSV if new_entries: # Create file with header if it doesn't exist if not tsv_path.exists(): with open(tsv_path, "w", encoding="utf-8") as f: f.write("Word\tIPA\tSCA\tSource\tConcept_ID\tCognate_Set_ID\n") with open(tsv_path, "a", encoding="utf-8") as f: for e in new_entries: f.write(f"{e['word']}\t{e['ipa']}\t{e['sca']}\twiktionary_cat\t-\t-\n") # Save audit trail if audit_trail: AUDIT_TRAIL_DIR.mkdir(parents=True, exist_ok=True) audit_path = AUDIT_TRAIL_DIR / f"tier1_ingest_{iso}.jsonl" with open(audit_path, "w", encoding="utf-8") as f: for r in audit_trail: f.write(json.dumps(r, ensure_ascii=False) + "\n") # Save raw member list if titles: RAW_DIR.mkdir(parents=True, exist_ok=True) raw_path = RAW_DIR / f"wiktionary_category_{iso}.json" with open(raw_path, "w", encoding="utf-8") as f: json.dump({"category": config["category"], "members": titles}, f, ensure_ascii=False) return { "iso": iso, "name": config["name"], "existing": len(existing) - len(new_entries), "new": len(new_entries), "total": len(existing), "skipped": skipped, } def main(): parser = argparse.ArgumentParser(description="Ingest Tier 1 languages from Wiktionary") parser.add_argument("--language", "-l", help="Specific ISO code (default: all Tier 1)") parser.add_argument("--dry-run", action="store_true") args = parser.parse_args() logging.basicConfig( level=logging.INFO, format="%(asctime)s %(levelname)s: %(message)s", datefmt="%H:%M:%S", ) if args.language: if args.language not in TIER1_CONFIGS: logger.error("Unknown language: %s. Available: %s", args.language, ", ".join(TIER1_CONFIGS.keys())) sys.exit(1) configs = {args.language: TIER1_CONFIGS[args.language]} else: configs = TIER1_CONFIGS results = [] for iso, config in configs.items(): result = ingest_language(iso, config, dry_run=args.dry_run) results.append(result) print(f"\n{'DRY RUN: ' if args.dry_run else ''}Tier 1 Wiktionary Ingestion:") print("=" * 60) total_new = 0 for r in results: print(f" {r['iso']:8s} {r['name']:25s} existing={r['existing']:>5d}, " f"new={r['new']:>5d}, total={r['total']:>5d}") total_new += r["new"] print(f"\n Total new entries: {total_new}") print("=" * 60) if __name__ == "__main__": main()