test: validate normalized learning store contract

tools/validate_normalized_learning_store_v1.py

@@ -0,0 +1,36 @@
+from __future__ import annotations
+
+import json
+from pathlib import Path
+
+ROOT = Path(__file__).resolve().parents[1]
+
+
+def main() -> int:
+    migration = ROOT / "src/dotnet/QuantEngine.Infrastructure/Migrations/V5__Add_Normalized_Learning_History.sql"
+    writer = ROOT / "src/dotnet/QuantEngine.Infrastructure/Repositories/NormalizedLearningStore.cs"
+    contract = ROOT / "src/dotnet/QuantEngine.Core/Interfaces/INormalizedLearningStore.cs"
+    dbml = ROOT / "docs/db/quantengine.dbml"
+    program = ROOT / "src/dotnet/QuantEngine.Web/Program.cs"
+    checks = {
+        "migration_exists": migration.exists(),
+        "writer_exists": writer.exists(),
+        "contract_exists": contract.exists(),
+        "dbml_exists": dbml.exists(),
+        "di_registration": "INormalizedLearningStore" in program.read_text(encoding="utf-8"),
+        "training_projection": "training_example_v1" in migration.read_text(encoding="utf-8"),
+        "outcome_upsert": "ON CONFLICT (decision_id, horizon_days)" in writer.read_text(encoding="utf-8"),
+        "dbml_v5_tables": all(name in dbml.read_text(encoding="utf-8") for name in (
+            "source_observation", "factor_observation", "decision_event", "outcome_evaluation")),
+    }
+    gate = "PASS" if all(checks.values()) else "FAIL"
+    payload = {"formula_id": "NORMALIZED_LEARNING_STORE_V1", "gate": gate, "checks": checks}
+    output = ROOT / "Temp/normalized_learning_store_v1.json"
+    output.parent.mkdir(parents=True, exist_ok=True)
+    output.write_text(json.dumps(payload, indent=2), encoding="utf-8")
+    print(json.dumps(payload, indent=2))
+    return 0 if gate == "PASS" else 1
+
+
+if __name__ == "__main__":
+    raise SystemExit(main())