"""Sweep table: metrics raw and after PP, object size and PP displacement vs the layout-only baseline."""
import re, json, os, numpy as np
H = os.path.dirname(os.path.abspath(__file__))
def g(p, pat):
    try: m = re.search(pat, open(p).read()); return float(m.group(1)) if m else float('nan')
    except FileNotFoundError: return float('nan')
def load(p):
    d = json.load(open(p)); V, C = [], []
    for i in range(len(d['sizes'])):
        s = np.array(d['sizes'][i]).reshape(-1, 3); c = np.array(d['class_labels'][i]).reshape(len(s), -1).argmax(-1)
        V += list(np.prod(s, 1)); C += list(c)
    return np.array(V), np.array(C)
names = sorted(f[:-5] for f in os.listdir(f'{H}/raw') if f.endswith('.json') and not f.startswith('relational'))
names = (['baseline'] if 'baseline' in names else []) + [n for n in names if n != 'baseline']
Vb, Cb = load(f'{H}/raw/baseline.json') if 'baseline' in names else (None, None)
dmg = json.load(open(f'{H}/pp_damage_summary.json')) if os.path.exists(f'{H}/pp_damage_summary.json') else {}
print('| Config | Size | ColObj raw | ColObj PP | ColScene PP | OOB raw | OOB PP | SG raw | SG PP | Close PP | Symm PP | PP move cm | PP flips % |')
print('|' + '---|' * 13)
for n in names:
    e = lambda st, k: f'{H}/eval/{n}_{st}_{k}.txt'
    size = float('nan')
    if Vb is not None:
        V, C = load(f'{H}/raw/{n}.json')
        size = np.mean([np.median(V[C == k]) / np.median(Vb[Cb == k]) for k in np.unique(Cb) if (C == k).sum() > 20 and (Cb == k).sum() > 20])
    d = dmg.get(n, {})
    row = [size * 100, g(e('raw', 'col'), r'Overall ColObj.*?: ([\d.]+)'), g(e('pp', 'col'), r'Overall ColObj.*?: ([\d.]+)'),
           g(e('pp', 'col'), r'Overall ColScene.*?: ([\d.]+)'), g(e('raw', 'ob'), r'Average #OB per scene: ([\d.]+)'),
           g(e('pp', 'ob'), r'Average #OB per scene: ([\d.]+)'), g(e('raw', 'rel'), r'Total Acc\)\s*: ([\d.]+)'),
           g(e('pp', 'rel'), r'Total Acc\)\s*: ([\d.]+)'), g(e('pp', 'rel'), r'Close By\s*: ([\d.]+)'),
           g(e('pp', 'rel'), r'Symmetrical To\s*: ([\d.]+)'),
           d.get('mean_cm', float('nan')), d.get('scene_flip_pct', float('nan'))]
    fmt = ['{:.0f}%', '{:.4f}', '{:.4f}', '{:.4f}', '{:.3f}', '{:.3f}', '{:.2f}', '{:.2f}', '{:.2f}', '{:.2f}', '{:.1f}', '{:.1f}']
    print(f'| {n} | ' + ' | '.join(f.format(x) for f, x in zip(fmt, row)) + ' |')