"""
Resolve a natural language prompt to a skill and trajectory via Modal inference.

Flow:
    prompt -> infer_modal (Modal GPU) -> skill -> skill_router -> trajectory path

Run:
    python -m modal_apps.run_modal "play my workout playlist"
"""

from __future__ import annotations

import argparse
import json
import sys
from pathlib import Path

_ROOT = Path(__file__).resolve().parent.parent
if str(_ROOT) not in sys.path:
    sys.path.insert(0, str(_ROOT))

from modal_apps.infer_modal import app, infer
from src.skill_router import ROOT_DIR, route_skill


def resolve_prompt(prompt: str) -> dict[str, str]:
    """Classify prompt on Modal and resolve its trajectory file."""
    with app.run():
        skill_payload = json.loads(infer.remote(prompt))
    skill = skill_payload["skill"]

    trajectory_path = route_skill(skill)
    try:
        trajectory = str(trajectory_path.relative_to(ROOT_DIR))
    except ValueError:
        trajectory = str(trajectory_path)

    return {
        "prompt": prompt,
        "skill": skill,
        "trajectory": trajectory,
    }


def main() -> None:
    parser = argparse.ArgumentParser(
        description="Resolve a prompt to a skill and trajectory (no replay)."
    )
    parser.add_argument("prompt", help="Natural language prompt")
    args = parser.parse_args()

    result = resolve_prompt(args.prompt)

    print(f"Prompt: {result['prompt']}")
    print(f"Predicted Skill: {result['skill']}")
    print(f"Trajectory: {result['trajectory']}")
    print(json.dumps(result, indent=2))


if __name__ == "__main__":
    main()