Add manifest-driven layered artifact generation command

Author: ProfRandom92

package.json

@@ -11,6 +11,7 @@
     "test:core": "pytest tests/test_core_foundation_ts.py -q",
     "test:replay": "pytest tests/test_paper_replay_bench.py tests/test_agent_trace_replay.py tests/test_replay_continuity.py -q",
     "layout": "python scripts/check_repo_layout.py",
-    "check": "npm run layout && npm run typecheck && npm run validate && npm run build && npm run test"
+    "check": "npm run layout && npm run typecheck && npm run validate && npm run build && npm run test",
+    "generate:layered-admissibility": "python scripts/generate_layered_admissibility_artifact.py"
   }
 }

scripts/generate_layered_admissibility_artifact.py

@@ -0,0 +1,39 @@
+"""Deterministic entrypoint for layered admissibility artifact regeneration."""
+
+from __future__ import annotations
+
+import sys
+from pathlib import Path
+
+REPO_ROOT = Path(__file__).resolve().parents[1]
+if str(REPO_ROOT) not in sys.path:
+    sys.path.insert(0, str(REPO_ROOT))
+
+from src.validation.degradation_curve_generator import DegradationCurveGenerator
+
+CURVE_ID = "coding_workflow_pr_review_curve_v1"
+OUTPUT_PATH = Path("artifacts/layered_admissibility_results.json")
+
+
+def generate_layered_admissibility_artifact(
+    output_path: Path = OUTPUT_PATH,
+    *,
+    curve_id: str = CURVE_ID,
+) -> Path:
+    """Regenerate layered admissibility artifact from manifest-ordered fixtures."""
+
+    generator = DegradationCurveGenerator()
+    fixtures = generator.fixtures_for_layered_admissibility_curve()
+    curve = generator.generate(fixtures, curve_id=curve_id)
+    generator.write_json(curve, output_path)
+    return output_path
+
+
+def main() -> int:
+    output_path = generate_layered_admissibility_artifact()
+    print(output_path.as_posix())
+    return 0
+
+
+if __name__ == "__main__":
+    raise SystemExit(main())

tests/test_generate_layered_admissibility_artifact.py

@@ -0,0 +1,39 @@
+from __future__ import annotations
+
+import json
+from pathlib import Path
+
+from scripts.generate_layered_admissibility_artifact import (
+    CURVE_ID,
+    generate_layered_admissibility_artifact,
+)
+from src.validation.degradation_curve_generator import DegradationCurveGenerator
+
+ARTIFACT_PATH = Path("artifacts/layered_admissibility_results.json")
+CANONICAL_FIXTURE_ID = "coding_workflow_pr_review_moderate_v1"
+CANONICAL_MODERATE_SCORE = 0.8333333333333334
+
+
+def test_generated_artifact_matches_committed_artifact(tmp_path: Path) -> None:
+    output_path = tmp_path / "layered_admissibility_results.json"
+    generate_layered_admissibility_artifact(output_path)
+
+    generated = json.loads(output_path.read_text(encoding="utf-8"))
+    committed = json.loads(ARTIFACT_PATH.read_text(encoding="utf-8"))
+    assert generated == committed
+
+
+def test_generated_artifact_has_no_new_top_level_fields() -> None:
+    generator = DegradationCurveGenerator()
+    curve = generator.generate(generator.fixtures_for_layered_admissibility_curve(), curve_id=CURVE_ID)
+
+    generated_top_level = set(generator.to_dict(curve).keys())
+    committed_top_level = set(json.loads(ARTIFACT_PATH.read_text(encoding="utf-8")).keys())
+    assert generated_top_level == committed_top_level
+
+
+def test_moderate_fixture_score_remains_canonical() -> None:
+    payload = json.loads(ARTIFACT_PATH.read_text(encoding="utf-8"))
+    points = payload["points"]
+    moderate_point = next(point for point in points if point["fixture_id"] == CANONICAL_FIXTURE_ID)
+    assert moderate_point["overall_admissibility_score"] == CANONICAL_MODERATE_SCORE