"""Manual check of the LLM gateway on synthetic phrases.

    python -m app.llm.cli extract "сплю плохо, кошмары почти каждую ночь"
    python -m app.llm.cli item phq9_3 "Проблемы со сном" 3 "сплю плохо"
    python -m app.llm.cli risk "всё бессмысленно"

Text always goes through `privacy.scrub()` first; the CLI never bypasses it.
"""

import argparse
import asyncio
import sys

from app.core import privacy
from app.llm.gateway import get_gateway


def main(argv: list[str] | None = None) -> int:
    parser = argparse.ArgumentParser(prog="python -m app.llm.cli")
    sub = parser.add_subparsers(dest="cmd", required=True)
    sub.add_parser("extract", help="daily check-in facts").add_argument("text")
    sub.add_parser("risk", help="auxiliary risk level").add_argument("text")
    item = sub.add_parser("item", help="scale item score")
    item.add_argument("item_id")
    item.add_argument("item_text")
    item.add_argument("max_score", type=int)
    item.add_argument("text")
    args = parser.parse_args(argv)

    try:
        scrubbed = privacy.scrub(args.text)
    except NotImplementedError:
        msg = "privacy.scrub() is not implemented yet (#2); refusing to send unscrubbed text."
        print(msg, file=sys.stderr)
        return 2

    gw = get_gateway()
    print(f"provider={gw.provider_name}")
    if args.cmd == "extract":
        facts = asyncio.run(gw.extract_checkin(scrubbed))
        print(facts.model_dump_json(indent=2) if facts else "None")
    elif args.cmd == "risk":
        print(asyncio.run(gw.risk_classify(scrubbed)).name)
    else:
        score = asyncio.run(gw.extract_item(args.item_id, args.item_text, args.max_score, scrubbed))
        print(score.model_dump_json(indent=2) if score else "None (low confidence -> clarify)")
    return 0


if __name__ == "__main__":
    raise SystemExit(main())