"""Build repository training samples from a local checkout."""

from __future__ import annotations

import argparse
from pathlib import Path

from .builder import build_samples
from .model import BuildConfig
from .repo import repo_from_path, scan
from .serialization import write_parquet
from .tokenizer import DEFAULT_TOKENIZER_ID, load_tokenizer
from .repo_serialization import write_json


def main() -> None:
    parser = argparse.ArgumentParser(description=__doc__)
    parser.add_argument("repository", type=Path)
    parser.add_argument("output", type=Path)
    parser.add_argument("--info-output", type=Path,
                        help="also write dependency metadata JSON for this repository")
    parser.add_argument("--max-tokens", type=int, default=8_192)
    parser.add_argument("--tokenizer", default=DEFAULT_TOKENIZER_ID,
                        help="Transformers tokenizer name or local path")
    args = parser.parse_args()
    repo = repo_from_path(args.repository)
    info = scan(repo, include_weak=False)
    config = BuildConfig(max_tokens=args.max_tokens)
    tokenizer = load_tokenizer(args.tokenizer)
    samples = build_samples(repo, config=config, tokenizer=tokenizer, info=info)
    args.output.parent.mkdir(parents=True, exist_ok=True)
    write_parquet(samples, args.output)
    if args.info_output:
        args.info_output.parent.mkdir(parents=True, exist_ok=True)
        write_json(info, args.info_output)
    print(f"wrote {len(samples)} samples to {args.output}")


if __name__ == "__main__":
    main()