import argparse
import json
import sys
from pathlib import Path

import torch

ROOT = Path(__file__).resolve().parents[3]
sys.path.insert(0, str(ROOT / 'comparators/ProKeR-PTA'))
from proker_pta.data import POOLED, pooled_file, raw_packet

# writes the slide packet pooled at the best Top-P of each cell, so a machine without the 39 GB of ranked patch sets can run the best Top-P settings


def main():
    ap = argparse.ArgumentParser(description='Pool the ranked patch sets at the best Top-P into small slide packets.')
    ap.add_argument('--datasets', nargs='+')
    ap.add_argument('--redo', action='store_true')
    a = ap.parse_args()
    cells = json.loads((ROOT / 'experiments/miscellaneous/shared/cells.json').read_text())['best']
    POOLED.mkdir(parents=True, exist_ok=True)
    for key, cell in cells.items():
        path = pooled_file(cell)
        if cell['top_p'] == 1 or (a.datasets and cell['dataset'] not in a.datasets) or (path.exists() and not a.redo):
            continue
        raw = raw_packet(cell)
        torch.save(raw, path)
        print(f"{key} P{cell['top_p']}: {path.name} {path.stat().st_size / 1e6:.0f} MB", flush=True)


if __name__ == '__main__':
    main()