"""Pack the 14 per-member checkpoints + gate config into ONE file: final/bundle.pt.
Load it with: GatedEnsemble("final/bundle.pt"). Run: python final/bundle_ensemble.py
"""
import os, sys, glob, json
import torch
HERE = os.path.dirname(os.path.abspath(__file__)); CKPT = os.path.join(HERE, "checkpoints")
man = json.load(open(os.path.join(HERE, "ensemble.json")))

bundle = {"tau": man["gate"]["tau"], "members": {},
          "meta": {"pipeline": man["pipeline"], "description": man["description"],
                   "results": man["results"], "feature_dims": man["feature_dims"]}}
n = 0
for group in ("base_perch", "arm_harmonic", "arm_birdmae", "arm_bgwhiten"):
    bundle["members"][group] = []
    for cp in sorted(glob.glob(os.path.join(CKPT, f"{group}_s*.pt"))):
        st = torch.load(cp, map_location="cpu", weights_only=False)
        bundle["members"][group].append({
            "state": st["model_state_dict"], "mean": st["mean"], "std": st["std"],
            "standardize": st["standardize"], "arch": st["arch"], "feature_dim": st["feature_dim"],
            "seed": st["seed"]})
        n += 1
out = os.path.join(HERE, "bundle.pt")
torch.save(bundle, out)
mb = os.path.getsize(out) / 1e6
print(f"bundled {n} member checkpoints + gate(tau={bundle['tau']}) -> {out}  ({mb:.1f} MB)")
print("groups:", {g: len(v) for g, v in bundle["members"].items()})