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김경종
@@ -19,6 +19,69 @@ def write_json(path: Path, payload: dict):
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path.write_text(json.dumps(payload, indent=2), encoding="utf-8")
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def write_text(path: Path, text: str = "ok\n"):
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path.parent.mkdir(parents=True, exist_ok=True)
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path.write_text(text, encoding="utf-8")
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def ready_metadata(source_hash: str) -> dict:
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return {
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"schema_version": "abaqus-user-subroutine-artifact-v1",
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"feature_id": "umat",
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"model_id": "single-element",
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"artifact_status": "ready-for-comparison",
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"abaqus": {"version": "2024", "precision": "double"},
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"compiler": {"vendor": "Intel oneAPI", "name": "ifx", "version": "2024"},
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"subroutine": {
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"entry_points": ["UMAT"],
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"source_files": [
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{
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"path": "src/fortran/abaqus/UMAT.for",
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"language": "Fortran",
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"sha256": source_hash,
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}
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],
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},
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"input_file": "model.inp",
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"outputs": {
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"tails": {
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"msg": "job.msg.tail.txt",
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"dat": "job.dat.tail.txt",
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"log": "job.log.tail.txt",
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"sta": "job.sta.tail.txt",
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},
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"csv": {"stresses": "extracted/stresses.csv"},
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},
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"extraction": {
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"source_odb": "job.odb",
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"tool": "Abaqus Python",
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"extracted_at": "2026-06-10T00:00:00+09:00",
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"csv_directory": "extracted",
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"script": "extraction/extract_odb_to_csv.py",
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},
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}
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def create_ready_bundle(root: Path) -> tuple[Path, dict]:
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source = root / "src" / "fortran" / "abaqus" / "UMAT.for"
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write_text(source, " subroutine umat()\n end\n")
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source_hash = hashlib.sha256(source.read_bytes()).hexdigest()
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model_dir = root / "references" / "umat" / "single-element"
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for name in [
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"model.inp",
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"job.msg.tail.txt",
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"job.dat.tail.txt",
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"job.log.tail.txt",
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"job.sta.tail.txt",
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"extracted/stresses.csv",
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"extraction/extract_odb_to_csv.py",
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]:
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write_text(model_dir / name)
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return model_dir, ready_metadata(source_hash)
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class ValidateReferenceArtifactsTests(unittest.TestCase):
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def test_missing_references_directory_is_valid(self):
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validator = load_validate_reference_artifacts()
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@@ -52,7 +115,7 @@ class ValidateReferenceArtifactsTests(unittest.TestCase):
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"feature_id": "umat",
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"model_id": "single-element",
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"artifact_status": "ready-for-comparison",
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"abaqus": {"version": "2024", "precision": "double", "command": "abaqus job=case user=UMAT.for"},
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"abaqus": {"version": "2024", "precision": "double"},
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"compiler": {"vendor": "Intel oneAPI", "name": "ifx", "version": "2024"},
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"subroutine": {
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"entry_points": ["UMAT"],
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@@ -61,7 +124,7 @@ class ValidateReferenceArtifactsTests(unittest.TestCase):
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"input_file": "model.inp",
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"outputs": {
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"tails": {"msg": "job.msg.tail.txt", "dat": "job.dat.tail.txt", "log": "job.log.tail.txt"},
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"csv": {"stresses": "stresses.csv"},
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"csv": {"stresses": "extracted/stresses.csv"},
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},
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},
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)
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@@ -69,53 +132,60 @@ class ValidateReferenceArtifactsTests(unittest.TestCase):
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errors = validator.validate_root(root)
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self.assertTrue(any("missing input_file" in error for error in errors))
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self.assertTrue(any("missing output tail" in error for error in errors))
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self.assertTrue(any("missing output tail sta" in error for error in errors))
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self.assertTrue(any("missing ready-for-comparison key extraction" in error for error in errors))
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self.assertTrue(any("missing csv output" in error for error in errors))
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self.assertTrue(any("missing source file" in error for error in errors))
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def test_ready_for_comparison_accepts_external_bundle_without_abaqus_command(self):
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validator = load_validate_reference_artifacts()
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with tempfile.TemporaryDirectory() as tmp:
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root = Path(tmp)
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model_dir, payload = create_ready_bundle(root)
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payload["extraction"]["odb_sha256_file"] = "result.odb.sha256"
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write_text(model_dir / "result.odb.sha256", "0" * 64 + " job.odb\n")
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write_json(model_dir / "metadata.json", payload)
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self.assertEqual(validator.validate_root(root), [])
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def test_ready_for_comparison_checks_source_sha256(self):
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validator = load_validate_reference_artifacts()
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with tempfile.TemporaryDirectory() as tmp:
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root = Path(tmp)
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source = root / "src" / "fortran" / "abaqus" / "UMAT.for"
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source.parent.mkdir(parents=True)
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source.write_text(" subroutine umat()\n end\n", encoding="utf-8")
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source_hash = hashlib.sha256(source.read_bytes()).hexdigest()
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model_dir = root / "references" / "umat" / "single-element"
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for name in ["model.inp", "job.msg.tail.txt", "job.dat.tail.txt", "job.log.tail.txt", "stresses.csv"]:
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(model_dir / name).parent.mkdir(parents=True, exist_ok=True)
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(model_dir / name).write_text("ok\n", encoding="utf-8")
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write_json(
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model_dir / "metadata.json",
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{
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"schema_version": "abaqus-user-subroutine-artifact-v1",
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"feature_id": "umat",
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"model_id": "single-element",
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"artifact_status": "ready-for-comparison",
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"abaqus": {"version": "2024", "precision": "double", "command": "abaqus job=case user=UMAT.for"},
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"compiler": {"vendor": "Intel oneAPI", "name": "ifx", "version": "2024"},
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"subroutine": {
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"entry_points": ["UMAT"],
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"source_files": [
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{
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"path": "src/fortran/abaqus/UMAT.for",
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"language": "Fortran",
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"sha256": "0" * len(source_hash),
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}
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],
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},
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"input_file": "model.inp",
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"outputs": {
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"tails": {"msg": "job.msg.tail.txt", "dat": "job.dat.tail.txt", "log": "job.log.tail.txt"},
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"csv": {"stresses": "stresses.csv"},
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},
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},
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)
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model_dir, payload = create_ready_bundle(root)
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payload["subroutine"]["source_files"][0]["sha256"] = "0" * 64
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write_json(model_dir / "metadata.json", payload)
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errors = validator.validate_root(root)
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self.assertTrue(any("sha256 mismatch" in error for error in errors))
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def test_ready_for_comparison_rejects_csv_outside_extracted_directory(self):
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validator = load_validate_reference_artifacts()
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with tempfile.TemporaryDirectory() as tmp:
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root = Path(tmp)
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model_dir, payload = create_ready_bundle(root)
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payload["outputs"]["csv"] = {"stresses": "stresses.csv"}
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write_text(model_dir / "stresses.csv")
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write_json(model_dir / "metadata.json", payload)
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errors = validator.validate_root(root)
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self.assertTrue(any("csv output stresses must match extracted/*.csv" in error for error in errors))
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def test_ready_for_comparison_checks_optional_odb_sha256_file(self):
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validator = load_validate_reference_artifacts()
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with tempfile.TemporaryDirectory() as tmp:
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root = Path(tmp)
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model_dir, payload = create_ready_bundle(root)
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payload["extraction"]["odb_sha256_file"] = "result.odb.sha256"
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write_text(model_dir / "result.odb.sha256", "not-a-sha\n")
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write_json(model_dir / "metadata.json", payload)
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errors = validator.validate_root(root)
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self.assertTrue(any("invalid odb_sha256_file" in error for error in errors))
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if __name__ == "__main__":
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unittest.main()
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