Datasets:
File size: 3,117 Bytes
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# scripts/validate_metadata.py
import csv, sys, pathlib
# Two accepted schemas:
REQUIRED_A = {"rir_id","file_path","sample_rate","rir_length","method",
"src_x","src_y","src_z","mic_x","mic_y","mic_z",
"distance","azimuth_deg","elevation_deg",
"rt60_t20","rt60_t30","drr_db","room_l","room_w","room_h","vol_m3","split"}
REQUIRED_B = {"id","split","fs","wav"} # compact schema
def find_default_meta():
here = pathlib.Path(__file__).resolve().parents[1]
candidates = [
here / "data" / "metadata" / "metadata.csv",
here / "data" / "metadata.csv",
]
for p in candidates:
if p.exists():
return p
return None
def validate(path: pathlib.Path):
with path.open(newline="", encoding="utf-8", errors="replace") as f:
r = csv.DictReader(f)
headers = { (h or "").strip().lstrip("\ufeff").lower() for h in (r.fieldnames or []) }
if REQUIRED_A.issubset(headers):
schema = "A"
elif REQUIRED_B.issubset(headers):
schema = "B"
else:
missingA = sorted(REQUIRED_A - headers)
missingB = sorted(REQUIRED_B - headers)
raise SystemExit(
"metadata.csv does not match a known schema.\n"
f"- Missing for Schema A: {missingA}\n"
f"- Missing for Schema B: {missingB}\n"
f"Headers seen: {sorted(headers)}"
)
for i,row in enumerate(r, 1):
if schema == "A":
if not (row.get("file_path") or "").strip():
raise SystemExit(f"row {i}: empty file_path")
try:
if int(float(row["sample_rate"])) <= 0:
raise ValueError
except Exception:
raise SystemExit(f"row {i}: invalid sample_rate -> {row.get('sample_rate')}")
try:
if int(float(row["rir_length"])) <= 0:
raise ValueError
except Exception:
raise SystemExit(f"row {i}: invalid rir_length -> {row.get('rir_length')}")
else:
if not (row.get("wav") or "").strip():
raise SystemExit(f"row {i}: empty wav path")
try:
if int(float(row["fs"])) <= 0:
raise ValueError
except Exception:
raise SystemExit(f"row {i}: invalid fs -> {row.get('fs')}")
print(f"metadata OK ✅ ({schema=}) @ {path}")
if __name__ == "__main__":
# Accept optional path; fallback to default
p = None
if len(sys.argv) >= 2 and sys.argv[1].strip():
p = pathlib.Path(sys.argv[1]).expanduser().resolve()
if not p.exists():
raise SystemExit(f"[ERR] Not found: {p}")
else:
p = find_default_meta()
if p is None:
raise SystemExit("Usage: python scripts/validate_metadata.py <path/to/metadata.csv>\n"
"Could not auto-find data/metadata/metadata.csv")
validate(p)
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