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"""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()
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