src/package_t2_material_loading_memory_v1.py

"""Create and verify the public whitelist package for T2 v1."""

from __future__ import annotations

import hashlib
import json
import shutil
from pathlib import Path

import h5py
import numpy as np


ROOT = Path(__file__).resolve().parents[1]
DATA_DIR = ROOT / "data" / "t2_material_loading_memory_v1"
ARTIFACT_DIR = ROOT / "artifacts" / "t2_material_loading_memory_v1"
RELEASE_DIR = ROOT / "releases" / "t2_material_loading_memory_v1"
UPLOAD_DIR = RELEASE_DIR / "upload"


def _sha256(path: Path) -> str:
    digest = hashlib.sha256()
    with path.open("rb") as stream:
        for block in iter(lambda: stream.read(1024 * 1024), b""):
            digest.update(block)
    return digest.hexdigest()


def _copy(relative_source: str, relative_destination: str | None = None) -> Path:
    source = ROOT / relative_source
    destination = UPLOAD_DIR / (relative_destination or relative_source)
    destination.parent.mkdir(parents=True, exist_ok=True)
    shutil.copy2(source, destination)
    return destination


def build() -> dict[str, object]:
    manifest = json.loads((DATA_DIR / "manifest.json").read_text(encoding="utf-8"))
    quality = json.loads((ARTIFACT_DIR / "quality.json").read_text(encoding="utf-8"))
    baseline = json.loads(
        (ARTIFACT_DIR / "baseline_metrics.json").read_text(encoding="utf-8")
    )
    if quality["status"] != "accepted" or quality["quality_failure_count"] != 0:
        raise RuntimeError("Refusing to package a dataset that did not pass quality gates.")
    if baseline["status"] != "completed":
        raise RuntimeError("Baseline is incomplete.")
    if UPLOAD_DIR.exists():
        shutil.rmtree(UPLOAD_DIR)
    UPLOAD_DIR.mkdir(parents=True)
    copied = [
        _copy("data/t2_material_loading_memory_v1/README.md", "README.md"),
        _copy("data/t2_material_loading_memory_v1/design.jsonl"),
        _copy("data/t2_material_loading_memory_v1/index.jsonl"),
        _copy("data/t2_material_loading_memory_v1/manifest.json"),
        _copy("artifacts/t2_material_loading_memory_v1/QUALITY_REPORT.md"),
        _copy("artifacts/t2_material_loading_memory_v1/quality.json"),
        _copy("artifacts/t2_material_loading_memory_v1/hysteresis_preview.png"),
        _copy("artifacts/t2_material_loading_memory_v1/baseline_metrics.json"),
        _copy("artifacts/t2_material_loading_memory_v1/baseline_predictions.png"),
        _copy("artifacts/t2_material_loading_memory_v1/baseline_models.pt"),
        _copy("configs/t2_material_loading_memory_pilot.json"),
        _copy("configs/t2_material_loading_memory_v1.json"),
        _copy("src/t2_material_loading_memory.py"),
        _copy("src/t2_material_loading_memory_v1.py"),
        _copy("src/load_t2_material_loading_memory.py"),
        _copy("src/baseline_t2_material_loading_memory.py"),
        _copy("src/verify_t2_download.py"),
        _copy("src/package_t2_material_loading_memory_v1.py"),
        _copy("tests/test_t2_material_loading_memory.py"),
        _copy("tests/test_t2_material_loading_memory_v1.py"),
        _copy("handoff/t2_material_loading_memory_v1/START_HERE.md", "START_HERE.md"),
        _copy("handoff/t2_material_loading_memory_v1/REPRODUCE.md", "REPRODUCE.md"),
        _copy("handoff/t2_material_loading_memory_v1/PAPER_ROADMAP.md", "PAPER_ROADMAP.md"),
        _copy("handoff/t2_material_loading_memory_v1/KNOWN_LIMITATIONS.md", "KNOWN_LIMITATIONS.md"),
        _copy("handoff/t2_material_loading_memory_v1/environment-use.yml", "environment-use.yml"),
        _copy(
            "handoff/t2_material_loading_memory_v1/environment-reproduce.yml",
            "environment-reproduce.yml",
        ),
        _copy(
            "handoff/t2_material_loading_memory_v1/reproduce_t2_v1.sh",
            "reproduce_t2_v1.sh",
        ),
        _copy("releases/t1_layered_thermoelastic_v1/upload/DATA_LICENSE.md", "DATA_LICENSE.md"),
        _copy("releases/t1_layered_thermoelastic_v1/upload/CODE_LICENSE", "CODE_LICENSE"),
    ]
    for shard in manifest["shards"]:
        copied.append(_copy(shard["path"]))

    readme = UPLOAD_DIR / "README.md"
    readme.write_text(
        readme.read_text(encoding="utf-8").replace("../../artifacts/", "artifacts/"),
        encoding="utf-8",
    )

    sums_path = UPLOAD_DIR / "SHA256SUMS"
    lines = []
    for path in sorted(copied):
        relative = path.relative_to(UPLOAD_DIR)
        lines.append(f"{_sha256(path)}  {relative}")
    sums_path.write_text("\n".join(lines) + "\n", encoding="utf-8")

    expected_ids = [f"{index:05d}" for index in range(manifest["sample_count"])]
    observed_ids: list[str] = []
    for shard in manifest["shards"]:
        packaged = UPLOAD_DIR / shard["path"]
        if _sha256(packaged) != shard["sha256"]:
            raise RuntimeError(f"Packaged shard hash mismatch: {shard['path']}")
        with h5py.File(packaged, "r") as h5:
            observed_ids.extend(sorted(h5.keys()))
            for group in h5.values():
                if not all(np.isfinite(group[name][:]).all() for name in group.keys()):
                    raise RuntimeError("Packaged shard contains non-finite values.")
    if observed_ids != expected_ids:
        raise RuntimeError("Packaged sample IDs are incomplete or out of order.")
    result = {
        "status": "verified",
        "sample_count": manifest["sample_count"],
        "shard_count": len(manifest["shards"]),
        "file_count_including_sha256sums": len(copied) + 1,
        "bytes_excluding_sha256sums": sum(path.stat().st_size for path in copied),
        "upload_directory": str(UPLOAD_DIR),
    }
    RELEASE_DIR.mkdir(parents=True, exist_ok=True)
    (RELEASE_DIR / "release_check.json").write_text(
        json.dumps(result, indent=2, sort_keys=True) + "\n", encoding="utf-8"
    )
    print(json.dumps(result, indent=2, sort_keys=True))
    return result


if __name__ == "__main__":
    build()