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data/climate_data.py

@@ -179,7 +179,7 @@ class ClimateData:
             return design_conditions_by_zone["4A"]
     
     @staticmethod
-    def get_monthly_temperatures(climate_zone: str) -> Dict[str, float]:
+    def get_monthly_temperatures(climate_zone: str) -> Dict[int, Dict[str, float]]:
         """
         Get monthly average temperatures for a specific climate zone.
         
@@ -187,10 +187,30 @@ class ClimateData:
             climate_zone: ASHRAE climate zone (e.g., '1A', '3B', '5A')
             
         Returns:
-            Dictionary with monthly average temperatures
+            Dictionary with monthly average temperatures indexed by month number (1-12)
+            Each month contains 'avg_db', 'max_db', and 'min_db' values
         """
-        # Default monthly temperatures by climate zone
-        monthly_temps_by_zone = {
+        # Helper function to convert month name format to numeric format with min/max values
+        def convert_month_format(month_data):
+            month_names = ["Jan", "Feb", "Mar", "Apr", "May", "Jun", "Jul", "Aug", "Sep", "Oct", "Nov", "Dec"]
+            result = {}
+            
+            for i, month in enumerate(month_names, 1):
+                avg_temp = month_data[month]
+                # Generate reasonable min/max values based on average
+                min_temp = avg_temp - 5.0
+                max_temp = avg_temp + 5.0
+                
+                result[i] = {
+                    'avg_db': avg_temp,
+                    'min_db': min_temp,
+                    'max_db': max_temp
+                }
+            
+            return result
+            
+        # Default monthly temperatures by climate zone (in month name format)
+        monthly_temps_raw = {
             # Hot-Humid (like Miami)
             "1A": {
                 "Jan": 20.0, "Feb": 20.5, "Mar": 22.0, "Apr": 24.0, "May": 26.0, 
@@ -297,11 +317,11 @@ class ClimateData:
         
         # Return monthly temperatures for the specified climate zone
         # If climate zone not found, return default values
-        if climate_zone in monthly_temps_by_zone:
-            return monthly_temps_by_zone[climate_zone]
+        if climate_zone in monthly_temps_raw:
+            return convert_month_format(monthly_temps_raw[climate_zone])
         else:
             # Default to 4A if climate zone not found
-            return monthly_temps_by_zone["4A"]
+            return convert_month_format(monthly_temps_raw["4A"])
     
     def _load_climate_locations(self) -> Dict[str, ClimateLocation]:
         """