AgentFEM-Material-Loading-Memory / src /package_t2_multiaxial_release.py
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Add multiaxial OOD v2 data, six neural models, and FE validation
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"""Build a verified combined Hugging Face package for T2 v1 and v2."""
from __future__ import annotations
import hashlib
import json
import shutil
from pathlib import Path
try:
from src import package_t2_material_loading_memory_v1 as v1
from src.verify_t2_multiaxial_download import verify
except ModuleNotFoundError:
import package_t2_material_loading_memory_v1 as v1
from verify_t2_multiaxial_download import verify
ROOT = Path(__file__).resolve().parents[1]
RELEASE_ROOT = ROOT / "releases" / "t2_multiaxial_ood_v2"
UPLOAD_ROOT = RELEASE_ROOT / "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: str, destination: str | None = None) -> None:
source = ROOT / relative
target = UPLOAD_ROOT / (destination or relative)
target.parent.mkdir(parents=True, exist_ok=True)
shutil.copy2(source, target)
def copy_tree(relative: str) -> None:
source = ROOT / relative
target = UPLOAD_ROOT / relative
if target.exists():
shutil.rmtree(target)
shutil.copytree(source, target, ignore=shutil.ignore_patterns("__pycache__", ".pytest_cache", ".DS_Store"))
def build() -> dict[str, object]:
v1.build()
if UPLOAD_ROOT.exists():
shutil.rmtree(UPLOAD_ROOT)
shutil.copytree(v1.UPLOAD_DIR, UPLOAD_ROOT)
copy("handoff/t2_multiaxial_ood_v2/HF_README.md", "README.md")
v2_manifest = json.loads(
(ROOT / "data/t2_multiaxial_ood_v2/manifest.json").read_text(encoding="utf-8")
)
for name in ("README.md", "design.jsonl", "index.jsonl", "manifest.json"):
copy(f"data/t2_multiaxial_ood_v2/{name}")
for shard in v2_manifest["shards"]:
copy(str(shard["path"]))
copy_tree("models/t2_multiaxial_ood_v2")
artifact_files = (
"QUALITY_REPORT.md", "quality.json", "multiaxial_hysteresis_preview.png",
"model_metrics.json", "model_protocol_comparison.png",
"training_summary.json", "physics_integrator_summary.json",
)
for name in artifact_files:
copy(f"artifacts/t2_multiaxial_ood_v2/{name}")
for case in ("mild_id", "moderate_ood", "severe_ood"):
copy_tree(f"artifacts/t2_multiaxial_ood_v2/structural_validation/{case}")
for relative in (
"configs/t2_multiaxial_ood_v2.json",
"src/t2_multiaxial_ood_v2.py",
"src/train_t2_multiaxial_models.py",
"src/train_t2_physics_integrator.py",
"src/structural_validate_t2_models.py",
"src/verify_t2_multiaxial_download.py",
"src/package_t2_multiaxial_release.py",
"tests/test_t2_multiaxial_ood_v2.py",
"tests/test_t2_multiaxial_models.py",
"tests/test_t2_physics_integrator.py",
"tests/test_t2_structural_validation.py",
"docs/T2_MULTIAXIAL_RESEARCH_MEMO.md",
"docs/T2_MULTIAXIAL_LITERATURE.md",
):
copy(relative)
copy("handoff/t2_multiaxial_ood_v2/T2_V2_START_HERE.md", "T2_V2_START_HERE.md")
copy("handoff/t2_multiaxial_ood_v2/T2_V2_REPRODUCE.md", "T2_V2_REPRODUCE.md")
sums = UPLOAD_ROOT / "SHA256SUMS"
if sums.exists():
sums.unlink()
files = sorted(path for path in UPLOAD_ROOT.rglob("*") if path.is_file())
sums.write_text(
"".join(f"{sha256(path)} {path.relative_to(UPLOAD_ROOT)}\n" for path in files),
encoding="utf-8",
)
verification = verify(UPLOAD_ROOT / "data" / "t2_multiaxial_ood_v2")
result = {
"status": "verified",
"v2_verification": verification,
"file_count_including_sha256sums": len(files) + 1,
"bytes_including_sha256sums": sum(path.stat().st_size for path in files) + sums.stat().st_size,
"upload_directory": str(UPLOAD_ROOT),
}
RELEASE_ROOT.mkdir(parents=True, exist_ok=True)
(RELEASE_ROOT / "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()