Create tar archive of WSPR / WSJT-X raw audio save files

wspr_wsjtx_raw_archive.py

#!/usr/bin/env python3
import os
import tarfile
import platform
from pathlib import Path
import argparse
from datetime import datetime

a = argparse.ArgumentParser(
    description="Compress and upload raw WSPR data to science archive."
)
a.add_argument("mycall", type=str, help="Your callsign")
a.add_argument("-date", type=str, help="Approximate date recording began (YYYY-MM-DD)", default=datetime.now().strftime("%Y-%m-%d"))
a.add_argument("-outdir", type=str, help="Output directory for the tar file", default=".")
args = a.parse_args()

# Create output directory if it does not exist
outdir = Path(args.outdir).expanduser().resolve(strict=False)
outdir.mkdir(parents=True, exist_ok=True)

# Determine WSJT-X save directory based on OS
system = platform.system()
match system:
    case "Linux":
        datadir = Path.home() / ".local/share/WSJT-X/save"
    case "Darwin":
        datadir = Path.home() / "Library/Application Support/WSJT-X/save"
    case "Windows":
        datadir = Path(os.environ["LOCALAPPDATA"]) / "WSJT-X/save"
    case _:
        raise SystemExit(f"Unsupported OS: {system}")

# Create compressed tar archive of .wav files
wav_files = datadir.glob("*.wav")
archive = outdir / f"{args.mycall}-{args.date}.tar"
with tarfile.open(archive, "w") as tar:
    for i, wav_file in enumerate(wav_files, start=1):
        print(f"{wav_file.name} => {archive}")
        tar.add(wav_file, arcname=wav_file.name)

if i == 0:
    raise SystemExit(f"No .wav files found in the save directory {datadir}.")

print(f"Created  with {i} .wav files")