Update app/climate_data.py

app/climate_data.py

@@ -426,7 +426,7 @@ class ClimateDataManager:
     
     def _process_hourly_data(self, df: pd.DataFrame) -> List[Dict[str, Any]]:
         """
-        Process hourly data from EPW DataFrame, including dew point and Sky Clearness Index.
+        Process hourly data from EPW DataFrame, including dew point, Sky Clearness Index, and total sky cover.
         
         Args:
             df: DataFrame containing EPW data
@@ -441,7 +441,7 @@ class ClimateDataManager:
             numeric_columns = [
                 "dry_bulb_temp", "dew_point_temp", "relative_humidity", "atmospheric_pressure",
                 "global_horizontal_radiation", "direct_normal_radiation",
-                "diffuse_horizontal_radiation", "wind_speed", "wind_direction"
+                "diffuse_horizontal_radiation", "wind_speed", "wind_direction", "total_sky_cover"
             ]
             
             for col in numeric_columns:
@@ -470,6 +470,9 @@ class ClimateDataManager:
                 direct_normal = float(row["direct_normal_radiation"]) if not pd.isna(row["direct_normal_radiation"]) else 0.0
                 sky_clearness_index = self._calculate_sky_clearness_index(diffuse_horizontal, global_horizontal, direct_normal)
                 
+                # Extract total sky cover
+                total_sky_cover = float(row["total_sky_cover"]) if not pd.isna(row["total_sky_cover"]) else None
+                
                 record = {
                     "month": int(row["month"]),
                     "day": int(row["day"]),
@@ -483,7 +486,8 @@ class ClimateDataManager:
                     "diffuse_horizontal_radiation": float(row["diffuse_horizontal_radiation"]) if not pd.isna(row["diffuse_horizontal_radiation"]) else 0.0,
                     "wind_speed": float(row["wind_speed"]) if not pd.isna(row["wind_speed"]) else 0.0,
                     "wind_direction": float(row["wind_direction"]) if not pd.isna(row["wind_direction"]) else 0.0,
-                    "sky_clearness_index": sky_clearness_index if sky_clearness_index is not None else None
+                    "sky_clearness_index": sky_clearness_index if sky_clearness_index is not None else None,
+                    "total_sky_cover": total_sky_cover
                 }
                 hourly_data.append(record)
             
@@ -858,7 +862,8 @@ def display_climate_summary(climate_data: Dict[str, Any]):
                 "Diffuse Horizontal Radiation (W/m²)": f"{record['diffuse_horizontal_radiation']:.1f}",
                 "Wind Speed (m/s)": f"{record['wind_speed']:.1f}",
                 "Wind Direction (°)": f"{record['wind_direction']:.1f}",
-                "Sky Clearness Index": f"{record['sky_clearness_index']:.3f}" if record['sky_clearness_index'] is not None else "N/A"
+                "Sky Clearness Index": f"{record['sky_clearness_index']:.3f}" if record['sky_clearness_index'] is not None else "N/A",
+                "Total Sky Cover": f"{record['total_sky_cover']:.1f}" if record['total_sky_cover'] is not None else "N/A"
             }
             for record in climate_data["hourly_data"]
         ]