"""
Generate all layers for given dimensions.
"""
import numpy as np
import pandas as pd
from pathlib import Path
from utils.orthogonal_bases import generate_orthogonal_matrix
from utils.hypersphere import point_on_hypersphere

def generate_coords(n_dim, layer=1, ids=range(1, 109), angles=np.arange(0, 361)):
    radius = 0.2 + (layer - 1) * 0.15
    rows = []
    for id_num in ids:
        Q = generate_orthogonal_matrix(n_dim, id_num)
        row = {"ID": id_num}
        for angle_deg in angles:
            theta = np.deg2rad(angle_deg)
            base = point_on_hypersphere(n_dim, theta)
            final = (Q @ base) * radius
            row[str(angle_deg)] = ",".join(f"{v:.6f}" for v in final)
        rows.append(row)
    df = pd.DataFrame(rows)
    return df[["ID"] + [str(a) for a in angles]]

if __name__ == "__main__":
    dims = [3, 8, 16, 32, 64]
    base = Path("data")
    for layer in range(1, 8):
        for dim in dims:
            print(f"Generating layer_{layer:02d} | {dim}D ...")
            df = generate_coords(dim, layer=layer)
            out = base / f"layer_{layer:02d}" / f"coords_{dim}d.csv"
            out.parent.mkdir(parents=True, exist_ok=True)
            df.to_csv(out, index=False)
            print(f"  → {out}")