|
|
| import argparse |
| import csv |
| import json |
| from pathlib import Path |
|
|
| import h5py |
| import numpy as np |
|
|
|
|
| MHB_ROOT = Path(__file__).resolve().parent.parent |
|
|
|
|
| def main(): |
| parser = argparse.ArgumentParser() |
| parser.add_argument("data_dir", type=Path) |
| args = parser.parse_args() |
|
|
| data_dir = args.data_dir.expanduser().resolve() |
| assert (data_dir / "waveforms.hdf5").is_file() |
| assert (data_dir / "metadata.csv").is_file() |
|
|
| with (data_dir / "metadata.csv").open("r", encoding="utf-8") as f: |
| trace_names = {row["trace_name"] for row in csv.DictReader(f)} |
|
|
| count = 0 |
| with h5py.File(data_dir / "waveforms.hdf5", "r") as h5, \ |
| (MHB_ROOT / "meta_data.jsonl").open("r", encoding="utf-8") as f: |
| for line in f: |
| if not line.strip(): |
| continue |
| record = json.loads(line) |
| if record["task_name"] != "Iquique": |
| continue |
|
|
| trace_name = record["meta_data"]["trace_name"] |
| assert trace_name in trace_names, f"Missing trace: {trace_name}" |
|
|
| bucket, position = trace_name.split("$") |
| index, channels, length = position.split(",") |
| index, channels, length = int(index), int(channels[1:]), int(length[1:]) |
|
|
| assert channels == 3 and length == record["input_ts"]["length"] |
| assert record["id"] == f"{bucket.removeprefix('bucket')}_{index}_{channels}_{length}" |
|
|
| signal = h5["data"][bucket][index, :channels, :length].T.astype(np.float32) |
| assert signal.shape == (length, channels) |
|
|
| dst = MHB_ROOT / record["input_ts"]["path"] |
| assert dst.name == f"{record['id']}.npy" |
| dst.parent.mkdir(parents=True, exist_ok=True) |
| np.save(dst, signal) |
| count += 1 |
|
|
| assert count == 502, f"Expected 502, got {count}" |
| print(f"Iquique: created {count} NPY files") |
|
|
|
|
| if __name__ == "__main__": |
| main() |
|
|
