Upload scripts/convert_cmapss_to_parquet.py with huggingface_hub

scripts/convert_cmapss_to_parquet.py

@@ -0,0 +1,67 @@
+#!/usr/bin/env python3
+"""Convert NASA C-MAPSS raw train text files to processed parquet."""
+
+from __future__ import annotations
+
+import argparse
+from pathlib import Path
+
+import pandas as pd
+
+
+CMAPSS_COLUMNS = (
+    "unit",
+    "cycle",
+    "op1",
+    "op2",
+    "op3",
+    *(f"s{index}" for index in range(1, 22)),
+)
+
+
+def convert_train_file(input_path: Path, output_path: Path) -> pd.DataFrame:
+    frame = pd.read_csv(
+        input_path,
+        sep=r"\s+",
+        header=None,
+        names=CMAPSS_COLUMNS,
+    )
+    max_cycle = frame.groupby("unit")["cycle"].transform("max")
+    frame["rul"] = (max_cycle - frame["cycle"]).astype(int)
+    output_path.parent.mkdir(parents=True, exist_ok=True)
+    frame.to_parquet(output_path, index=False)
+    return frame
+
+
+def main() -> int:
+    parser = argparse.ArgumentParser(description=__doc__)
+    parser.add_argument(
+        "--raw-dir",
+        type=Path,
+        default=Path("data/raw/cmapss"),
+        help="Directory containing NASA train_FD00X.txt files.",
+    )
+    parser.add_argument(
+        "--output-dir",
+        type=Path,
+        default=Path("data"),
+        help="Directory where FD00X_processed.parquet files are written.",
+    )
+    parser.add_argument(
+        "--datasets",
+        nargs="+",
+        default=["FD002", "FD004"],
+        help="C-MAPSS dataset IDs to convert.",
+    )
+    args = parser.parse_args()
+
+    for dataset_id in args.datasets:
+        source = args.raw_dir / f"train_{dataset_id}.txt"
+        target = args.output_dir / f"{dataset_id}_processed.parquet"
+        frame = convert_train_file(source, target)
+        print(f"{dataset_id}: wrote {target} ({len(frame)} rows)")
+    return 0
+
+
+if __name__ == "__main__":
+    raise SystemExit(main())