#!/usr/bin/env python3
"""
Generate held-out test completions from a local MLX model (baseline or fused
adapter) and tag each record with its task family so spaceval can score it.

Usage:
  python scripts/generate.py <model-path-or-hf-id> <out.jsonl> [--adapter PATH] [--limit N]
"""
import argparse
import json
import pathlib
import re

ROOT = pathlib.Path("/Users/fabio/projects/qwen-space-ft")


def task_of(user: str, gold: str) -> str:
    u = user.lower()
    if "as ssao turtle" in u or "express this catalogue record" in u:
        return "turtle"
    if "matcher proposes" in u:
        return "align"
    if "classify the orbit regime" in u:
        return "regime"
    if u.startswith("which ssao class"):
        return "lookup"
    return "refusal"


def main():
    ap = argparse.ArgumentParser()
    ap.add_argument("model")
    ap.add_argument("out")
    ap.add_argument("--adapter", default=None)
    ap.add_argument("--limit", type=int, default=0)
    ap.add_argument("--max-tokens", type=int, default=420)
    args = ap.parse_args()

    from mlx_lm import load, generate
    from mlx_lm.sample_utils import make_sampler

    kw = {}
    if args.adapter:
        kw["adapter_path"] = args.adapter
    model, tokenizer = load(args.model, **kw)
    sampler = make_sampler(temp=0.0)

    rows = [json.loads(l) for l in open(ROOT / "data" / "test.jsonl")]
    if args.limit:
        rows = rows[: args.limit]

    out = open(args.out, "w")
    for i, row in enumerate(rows, 1):
        msgs = row["messages"]
        gold = msgs[2]["content"]
        prompt = tokenizer.apply_chat_template(
            msgs[:2], add_generation_prompt=True, tokenize=False)
        text = generate(model, tokenizer, prompt=prompt,
                        max_tokens=args.max_tokens, sampler=sampler, verbose=False)
        out.write(json.dumps({"task": task_of(msgs[1]["content"], gold),
                              "user": msgs[1]["content"], "gold": gold,
                              "output": text}) + "\n")
        out.flush()
        if i % 10 == 0:
            print(f"  {i}/{len(rows)}", flush=True)
    out.close()
    print("wrote", args.out)


if __name__ == "__main__":
    main()