# build_master_csvs.py
import json, csv
from pathlib import Path

ROOT = Path("/Users/ioandanielcraciun/Python-Projects/lpbf-dataset-paper/rnl/final_data_processed")     # contains sim_00001, sim_00002, ...
exp_rows, frame_rows = [], []

for sim_dir in sorted(ROOT.glob("sim_*")):
    exp_id = sim_dir.name
    params = json.loads((sim_dir / "parameters.json").read_text())
    meta   = json.loads((sim_dir / "metadata.json").read_text())
    prov   = json.loads((sim_dir / "labeling_provenance.json").read_text())

    exp_rows.append({
        "experiment_id": exp_id,
        "sim_id": meta["sim_id"],
        "param_hash": meta["original_hash"],
        "material": meta["material"],
        "laser_power_W":           params["laser_power"]["value"],
        "scan_speed_x_mps":        params["scan_speed_x"]["value"],
        "laser_spot_size_m":       params["laser_spot_size"]["value"],
        "substrate_temperature_K": float(params["substrate_temperature"]["value"]),
        "n_frames": meta["n_frames"],
        "labeling_method": prov["method"],
        "labeled_at": prov["labeled_at"],
    })

    # per-experiment frames.csv: frame_idx, timestep, label, front_filename, side_filename, top_filename
    # explode into one row per (frame_idx, view)
    with open(sim_dir / "frames.csv") as f:
        for row in csv.DictReader(f):
            for view in ("front", "side", "top"):
                frame_rows.append({
                    "experiment_id": exp_id,
                    "frame_idx": int(row["frame_idx"]),
                    "timestep": int(row["timestep"]),
                    "view": view,
                    "label": row["label"],
                    "frame_path": f"{exp_id}/{row[f'{view}_filename']}",
                })

with open(ROOT / "experiments.csv", "w", newline="") as f:
    w = csv.DictWriter(f, fieldnames=exp_rows[0].keys()); w.writeheader(); w.writerows(exp_rows)

with open(ROOT / "frames.csv", "w", newline="") as f:
    w = csv.DictWriter(f, fieldnames=frame_rows[0].keys()); w.writeheader(); w.writerows(frame_rows)

print(f"{len(exp_rows)} experiments, {len(frame_rows)} frame-view records")