feat(api): return warnings in /simulate/status response

Parse and return job warnings from database.

Co-Authored-By: Claude <noreply@anthropic.com>

api/main.py

@@ -292,7 +292,7 @@ def create_app(
             job_id: Job UUID
 
         Returns:
-            Job status, progress, and model-day details
+            Job status, progress, model-day details, and warnings
 
         Raises:
             HTTPException 404: If job not found
@@ -314,6 +314,15 @@ def create_app(
             # Calculate pending (total - completed - failed)
             pending = progress["total_model_days"] - progress["completed"] - progress["failed"]
 
+            # Parse warnings from JSON if present
+            import json
+            warnings = None
+            if job.get("warnings"):
+                try:
+                    warnings = json.loads(job["warnings"])
+                except (json.JSONDecodeError, TypeError):
+                    logger.warning(f"Failed to parse warnings for job {job_id}")
+
             # Get deployment mode info
             deployment_info = get_deployment_mode_dict()
 
@@ -334,6 +343,7 @@ def create_app(
                 total_duration_seconds=job.get("total_duration_seconds"),
                 error=job.get("error"),
                 details=details,
+                warnings=warnings,
                 **deployment_info
             )
 

tests/integration/test_api_endpoints.py

@@ -384,5 +384,32 @@ class TestAsyncDownload:
         assert response.status_code == 200
         assert "job_id" in response.json()
 
+    def test_status_endpoint_returns_warnings(self, api_client):
+        """Test that /simulate/status returns warnings field."""
+        from api.database import initialize_database
+        from api.job_manager import JobManager
+
+        # Create job with warnings
+        db_path = api_client.db_path
+        job_manager = JobManager(db_path=db_path)
+
+        job_id = job_manager.create_job(
+            config_path="config.json",
+            date_range=["2025-10-01"],
+            models=["gpt-5"]
+        )
+
+        # Add warnings
+        warnings = ["Rate limited", "Skipped 1 date"]
+        job_manager.add_job_warnings(job_id, warnings)
+
+        # Get status
+        response = api_client.get(f"/simulate/status/{job_id}")
+
+        assert response.status_code == 200
+        data = response.json()
+        assert "warnings" in data
+        assert data["warnings"] == warnings
+
 
 # Coverage target: 90%+ for api/main.py