#!/usr/bin/env python
from __future__ import annotations

import argparse
import json
import os
import sys
from pathlib import Path

ROOT = Path(__file__).resolve().parents[1]
if str(ROOT) not in sys.path:
    sys.path.insert(0, str(ROOT))

from dovla_cil.eval.external_vla_baseline import (  # noqa: E402
    ExternalVLABaselineSpec,
    assess_external_vla_baseline,
    build_external_vla_plan,
    run_external_vla_entrypoint,
    write_external_vla_plan,
)


def parse_args() -> argparse.Namespace:
    parser = argparse.ArgumentParser(
        description=(
            "Prepare or run an isolated public VLA baseline adapter. This command never downloads "
            "weights or imports heavy VLA packages unless a user-provided adapter entrypoint is "
            "run."
        )
    )
    parser.add_argument("--model-family", default="smolvla", choices=["smolvla", "openvla"])
    parser.add_argument("--checkpoint", default=None, help="Local checkpoint/model directory.")
    parser.add_argument("--dataset", default=None, help="DoVLA-CIL dataset directory to evaluate.")
    parser.add_argument("--out", required=True, help="Output directory for plan and metrics.")
    parser.add_argument("--revision", default=None, help="Pinned public checkpoint revision.")
    parser.add_argument("--repo-id", default=None, help="Public Hugging Face repo id.")
    parser.add_argument("--package-name", default=None, help="External package to check/import.")
    parser.add_argument(
        "--python", default="python", help="Python executable to use in the generated env plan."
    )
    parser.add_argument(
        "--adapter-entrypoint",
        default=None,
        help=(
            "External adapter formatted as module:function. The function receives "
            "(spec_dict, plan_dict) and returns JSON-serializable metrics."
        ),
    )
    parser.add_argument(
        "--adapter-config",
        type=Path,
        default=None,
        help="Secret-free JSON object passed to the adapter as spec metadata.",
    )
    parser.add_argument(
        "--dry-run",
        action="store_true",
        help="Write a plan and exit without requiring the external baseline to be ready.",
    )
    parser.add_argument(
        "--require-ready",
        action="store_true",
        help="Exit nonzero unless package, checkpoint, dataset, and adapter entrypoint are ready.",
    )
    return parser.parse_args()


def main() -> int:
    args = parse_args()
    adapter_metadata = _load_adapter_config(args.adapter_config)
    spec = ExternalVLABaselineSpec(
        model_family=args.model_family,
        checkpoint_path=args.checkpoint,
        dataset_dir=args.dataset,
        out_dir=args.out,
        revision=args.revision,
        repo_id=args.repo_id,
        package_name=args.package_name,
        python=args.python,
        adapter_entrypoint=args.adapter_entrypoint,
        metadata=adapter_metadata,
    )
    out_dir = Path(args.out)
    out_dir.mkdir(parents=True, exist_ok=True)
    plan_path = write_external_vla_plan(spec, out_dir)
    plan = build_external_vla_plan(spec)
    status = assess_external_vla_baseline(spec)

    print(f"external VLA plan: {plan_path}")
    print(json.dumps(status.to_dict(), indent=2, sort_keys=True))
    if args.dry_run:
        return 0
    if args.require_ready and not status.ready:
        print(
            "External VLA baseline is not ready. Use the generated plan to create an isolated "
            "environment, download the public checkpoint, and provide an adapter entrypoint.",
            file=sys.stderr,
        )
        return 2
    if not args.adapter_entrypoint:
        print(
            "No adapter entrypoint was provided; wrote a reproducible plan but did not run "
            "metrics.",
            file=sys.stderr,
        )
        return 2

    metrics = run_external_vla_entrypoint(args.adapter_entrypoint, spec, plan)
    metrics_path = out_dir / "external_vla_metrics.json"
    metrics_path.write_text(json.dumps(metrics, indent=2, sort_keys=True), encoding="utf-8")
    print(f"external VLA metrics: {metrics_path}")
    return 0


def _load_adapter_config(path: Path | None) -> dict[str, object]:
    if path is None:
        return {}
    payload = json.loads(os.path.expandvars(path.read_text(encoding="utf-8")))
    if not isinstance(payload, dict):
        raise ValueError("adapter config must be a JSON object")
    forbidden = {"api_key", "apikey", "token", "secret", "password"}
    unsafe = [key for key in payload if key.lower() in forbidden]
    if unsafe:
        raise ValueError(f"adapter config must not contain secrets: {', '.join(sorted(unsafe))}")
    return payload


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