Datasets:
File size: 10,437 Bytes
8d2d3e2 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 | #!/usr/bin/env python3
"""Parse Glottolog NEXUS classification into a JSON tree index.
Reads the Glottolog CLDF languages.csv and classification.nex files,
builds ancestry paths for every ISO-bearing languoid, and writes
a JSON index mapping ISO codes to their tree positions.
Usage:
python scripts/build_glottolog_tree.py
"""
from __future__ import annotations
import csv
import io
import json
import logging
import re
import sys
from pathlib import Path
sys.stdout = io.TextIOWrapper(sys.stdout.buffer, encoding="utf-8")
sys.stderr = io.TextIOWrapper(sys.stderr.buffer, encoding="utf-8")
ROOT = Path(__file__).resolve().parent.parent
logger = logging.getLogger(__name__)
GLOTTOLOG_DIR = ROOT / "data" / "training" / "raw" / "glottolog_cldf"
OUTPUT_FILE = GLOTTOLOG_DIR / "glottolog_tree.json"
def parse_newick(newick: str) -> dict:
"""Parse a Newick tree string into a parent->children dict.
Returns a dict mapping each node label to its list of child labels,
plus a special key '_root' with the root label.
The Glottolog NEXUS uses format: (child1:1,child2:1)parent:1
"""
# Remove trailing semicolon
newick = newick.strip().rstrip(";")
children_of: dict[str, list[str]] = {}
parent_of: dict[str, str] = {}
# Parse by walking the string character by character
stack: list[list[str]] = [] # stack of child-lists being built
i = 0
n = len(newick)
while i < n:
c = newick[i]
if c == "(":
stack.append([])
i += 1
elif c == ")":
# Read the label after the closing paren
i += 1
label, i = _read_label(newick, i)
child_list = stack.pop()
children_of[label] = child_list
for child in child_list:
parent_of[child] = label
# Add this node to parent's child list (if any)
if stack:
stack[-1].append(label)
else:
# This is the root
children_of["_root"] = label
elif c == ",":
i += 1
else:
# Leaf node
label, i = _read_label(newick, i)
if stack:
stack[-1].append(label)
else:
children_of["_root"] = label
return children_of
def _read_label(s: str, i: int) -> tuple[str, int]:
"""Read a node label (glottocode) and skip any :branchlength suffix."""
start = i
while i < len(s) and s[i] not in "(),;":
i += 1
raw = s[start:i]
# Strip branch length (e.g., "abkh1242:1" -> "abkh1242")
label = raw.split(":")[0]
return label, i
def build_ancestry_paths(children_of: dict) -> dict[str, list[str]]:
"""Build leaf-to-root ancestry paths from a parsed tree.
Returns dict mapping each leaf label to its full path [root, ..., leaf].
"""
root = children_of["_root"]
# Build parent lookup
parent_of: dict[str, str] = {}
for node, kids in children_of.items():
if node == "_root":
continue
if isinstance(kids, list):
for kid in kids:
parent_of[kid] = node
# Find all leaves (nodes not in children_of, or with no children)
all_nodes = set()
all_nodes.add(root)
for node, kids in children_of.items():
if node == "_root":
continue
all_nodes.add(node)
if isinstance(kids, list):
for kid in kids:
all_nodes.add(kid)
internal = {n for n in children_of if n != "_root" and isinstance(children_of.get(n), list)}
leaves = all_nodes - internal
# Build paths
paths: dict[str, list[str]] = {}
for leaf in leaves:
path = [leaf]
node = leaf
while node in parent_of:
node = parent_of[node]
path.append(node)
path.reverse() # root -> ... -> leaf
paths[leaf] = path
# Also store paths for internal nodes (needed for languoids that are families)
for node in internal:
path = [node]
n = node
while n in parent_of:
n = parent_of[n]
path.append(n)
path.reverse()
paths[node] = path
return paths
def load_iso_mapping() -> dict[str, tuple[str, str]]:
"""Load ISO 639-3 -> (glottocode, family_id) mapping from languages.csv.
Returns dict mapping ISO code to (glottocode, family_id).
"""
lang_file = GLOTTOLOG_DIR / "languages.csv"
mapping: dict[str, tuple[str, str]] = {}
with open(lang_file, "r", encoding="utf-8") as f:
reader = csv.DictReader(f)
for row in reader:
iso = row.get("ISO639P3code", "").strip()
if iso:
gc = row["Glottocode"]
fam = row.get("Family_ID", "").strip()
mapping[iso] = (gc, fam)
return mapping
def load_family_names() -> dict[str, str]:
"""Load glottocode -> name mapping for family-level nodes."""
lang_file = GLOTTOLOG_DIR / "languages.csv"
names: dict[str, str] = {}
with open(lang_file, "r", encoding="utf-8") as f:
reader = csv.DictReader(f)
for row in reader:
gc = row["Glottocode"]
names[gc] = row["Name"]
return names
def parse_nexus_file() -> dict[str, dict]:
"""Parse the full NEXUS file, return {family_glottocode: children_of_dict}."""
nex_file = GLOTTOLOG_DIR / "classification.nex"
trees: dict[str, dict] = {}
with open(nex_file, "r", encoding="utf-8") as f:
for line in f:
line = line.strip()
if not line.startswith("tree "):
continue
# Parse: tree <name> = [&R] <newick>;
m = re.match(r"tree\s+(\S+)\s*=\s*(?:\[&R\]\s*)?(.+)", line)
if not m:
continue
tree_name = m.group(1)
newick = m.group(2)
try:
children_of = parse_newick(newick)
trees[tree_name] = children_of
except Exception as e:
logger.warning("Failed to parse tree %s: %s", tree_name, e)
return trees
def build_tree_index() -> dict:
"""Build the complete tree index: ISO -> tree position info.
Returns a dict with:
- "languages": {iso: {glottocode, path, family, depth}}
- "family_names": {glottocode: name}
"""
logger.info("Loading ISO mapping...")
iso_map = load_iso_mapping()
logger.info("Loaded %d ISO codes", len(iso_map))
logger.info("Loading family names...")
gc_names = load_family_names()
logger.info("Parsing NEXUS trees...")
trees = parse_nexus_file()
logger.info("Parsed %d family trees", len(trees))
# Build ancestry paths for all trees
all_paths: dict[str, list[str]] = {} # glottocode -> path
for family_gc, children_of in trees.items():
paths = build_ancestry_paths(children_of)
all_paths.update(paths)
logger.info("Built %d ancestry paths", len(all_paths))
# Now map ISO codes to their tree positions
index: dict[str, dict] = {}
found = 0
missing = 0
isolate = 0
for iso, (gc, family_id) in iso_map.items():
if gc in all_paths:
path = all_paths[gc]
family = path[0] # root of the tree = top-level family
depth = len(path) - 1 # distance from root
index[iso] = {
"glottocode": gc,
"path": path,
"family": family,
"family_name": gc_names.get(family, family),
"depth": depth,
}
found += 1
elif family_id:
# Language has a family but isn't in any tree
# This can happen for isolates or unclassified languages
index[iso] = {
"glottocode": gc,
"path": [family_id, gc] if family_id != gc else [gc],
"family": family_id,
"family_name": gc_names.get(family_id, family_id),
"depth": 1 if family_id != gc else 0,
}
found += 1
isolate += 1
else:
# True isolate or unclassified - no family
# Check if the glottocode IS a top-level family (isolate families)
if gc in trees:
index[iso] = {
"glottocode": gc,
"path": [gc],
"family": gc,
"family_name": gc_names.get(gc, gc),
"depth": 0,
}
found += 1
isolate += 1
else:
missing += 1
logger.info(
"ISO mapping: %d found (%d isolate/fallback), %d missing",
found, isolate, missing,
)
return {
"languages": index,
"family_names": {gc: gc_names.get(gc, gc) for gc in set(
info["family"] for info in index.values()
)},
"stats": {
"total_iso_codes": len(iso_map),
"mapped": found,
"isolate_fallback": isolate,
"unmapped": missing,
"families_in_nexus": len(trees),
},
}
def main():
logging.basicConfig(
level=logging.INFO,
format="%(asctime)s %(levelname)s %(message)s",
)
# Check input files exist
for fname in ("languages.csv", "classification.nex"):
fpath = GLOTTOLOG_DIR / fname
if not fpath.exists():
logger.error("Missing: %s — run ingest_glottolog.py first", fpath)
sys.exit(1)
tree_index = build_tree_index()
# Write output
OUTPUT_FILE.parent.mkdir(parents=True, exist_ok=True)
with open(OUTPUT_FILE, "w", encoding="utf-8") as f:
json.dump(tree_index, f, ensure_ascii=False, indent=1)
logger.info("Wrote tree index to %s", OUTPUT_FILE)
logger.info("Stats: %s", json.dumps(tree_index["stats"]))
# Print some sample entries for verification
samples = ["eng", "deu", "fra", "spa", "lat", "grc", "hin", "san", "jpn", "tgl"]
langs = tree_index["languages"]
for iso in samples:
if iso in langs:
info = langs[iso]
path_str = " > ".join(info["path"][-4:]) # last 4 nodes
logger.info(
" %s: family=%s, depth=%d, path=...%s",
iso, info["family_name"], info["depth"], path_str,
)
if __name__ == "__main__":
main()
|