"""Create SIMULATED practice data, so every experiment script can be tried before real data exists.

    python experiments/make_demo_data.py

Writes data/demo_calibration/ (E1-E4, E6) and data/demo_banana/ (E5), each with
raw.csv (per-second log) and labels.csv. Then run make_features.py on them.
"""
from __future__ import annotations

import sys
from pathlib import Path

sys.path.insert(0, str(Path(__file__).resolve().parents[1]))

from enose import simulate  # noqa: E402
from enose.common import output_dir  # noqa: E402

DATA = Path(__file__).resolve().parents[1] / "data"


def main() -> None:
    for name, (labels, raw) in {
        "demo_calibration": simulate.calibration_dataset(),
        "demo_banana": simulate.banana_dataset(),
    }.items():
        folder = output_dir(DATA / name)
        labels.to_csv(folder / "labels.csv", index=False)
        raw.to_csv(folder / "raw.csv", index=False)
        print(f"{folder}: {len(labels)} 次量測、{len(raw)} 筆原始讀值（模擬資料）")


if __name__ == "__main__":
    main()