fix

src/aeros_contribution/router.py

@@ -10,11 +10,11 @@ router = APIRouter()
 active_simulations = {}
 
 
-@router.get("", response_model=StandardResponse[None])
+@router.get("", response_model=StandardResponse[dict])
 async def get_all_simulation(db_session: DbSession):
     """Get all simulation."""
 
-    simulation_id = "b2dc96df-4d1f-4616-88ed-73ea9dfd62ae"
+    simulation_id = "eb8a1214-3d8f-48a9-8fa3-877a69a1fe98"
 
     results = await update_contribution_bulk_mappings(db_session=db_session, simulation_id=simulation_id)
 

src/aeros_contribution/service.py

@@ -93,19 +93,27 @@ def k_of_n_availability(availabilities: list[float], k: int) -> float:
 
 
 
-def get_all_components(structure: Structure) -> set:
-    """Extract all component names from a structure."""
+def get_all_components(structure) -> set:
+    """Extract all component/location_tag strings from a nested structure (series, parallel, k_of_n)."""
     components = set()
-    
-    def extract_components(substructure):
+
+    def extract(substructure):
         if isinstance(substructure, str):
+            # Found a component or location tag
             components.add(substructure)
         elif isinstance(substructure, dict):
-            for component_list in substructure.values():
-                for component in component_list:
-                    extract_components(component)
-    
-    extract_components(structure)
+            # If it's k_of_n, check "components"
+            if "k_of_n" in substructure and "components" in substructure["k_of_n"]:
+                for comp in substructure["k_of_n"]["components"]:
+                    extract(comp)
+            # If it's series/parallel or other nested structures
+            for value in substructure.values():
+                extract(value)
+        elif isinstance(substructure, list):
+            for item in substructure:
+                extract(item)
+
+    extract(structure)
     return components
 
 
@@ -206,6 +214,7 @@ def compute_all_importance_measures(structure: Structure, availabilities: Dict[s
         log.warning(f"Missing components (assuming 100% availability): {missing_components}")
         for comp in missing_components:
             normalized_availabilities[comp] = 1.0
+            
     
     
     # Calculate system baseline availability
@@ -222,6 +231,7 @@ def compute_all_importance_measures(structure: Structure, availabilities: Dict[s
             criticality = criticality_importance(structure, normalized_availabilities, component)
             fv = fussell_vesely_importance(structure, normalized_availabilities, component)
             
+            
             results[component] = {
                 'birnbaum_importance': birnbaum,
                 'criticality_importance': criticality,

src/aeros_simulation/service.py

@@ -9,7 +9,7 @@ import httpx
 from fastapi import HTTPException, status
 import ijson
 import requests
-from sqlalchemy import delete, select, update, and_
+from sqlalchemy import delete, desc, select, update, and_
 from sqlalchemy.orm import selectinload
 
 from src.config import AEROS_BASE_URL, AEROS_BASE_URL_OLD, DEFAULT_PROJECT_NAME
@@ -40,7 +40,7 @@ active_simulations = {}
 async def get_all(common: CommonParameters, status):
     query = select(AerosSimulation)
     if status:
-        query = query.where(AerosSimulation.status == "completed")
+        query = query.where(AerosSimulation.status == "completed").order_by(desc(AerosSimulation.created_at))
 
     results = await search_filter_sort_paginate(model=query, **common)
 

src/aeros_simulation/simulation_save_service.py

@@ -242,7 +242,10 @@ async def create_calc_result_object(
         beta=eq_reliability["beta"] if node_type == "RegularNode" else None,
         eta=eq_reliability["eta"] if node_type == "RegularNode" else None,
         mttr=eq_reliability["mttr"] if node_type == "RegularNode" else None,
-        parameters=eq_reliability["parameters"] if node_type == "RegularNode" else None
+        parameters=eq_reliability["parameters"] if node_type == "RegularNode" else None,
+        contribution=0,
+        criticality=0,
+        contribution_factor=0
     )