chore: update graphs

app.py

@@ -1173,7 +1173,7 @@ def create_combined_roi_time_series_graph(df):
     
     # IMPORTANT: Filter data by hardcoded date range (June 6 to July 8, 2025)
     min_date = datetime(2025, 6, 6)
-    max_date = datetime(2025, 7, 14, 23, 59, 59)  # Include all of July 8th
+    max_date = datetime(2025, 7, 16, 23, 59, 59)  # Include all of July 8th
     logger.info(f"Filtering ROI data to date range: {min_date} to {max_date}")
     
     # Count data points before filtering
@@ -1367,7 +1367,7 @@ def create_combined_roi_time_series_graph(df):
     
     # Update x-axis with better formatting and hardcoded date range (June 6 to July 8)
     min_date = datetime(2025, 6, 6)  # Hardcoded start date: June 6, 2025
-    max_date = datetime(2025, 7, 14)  # Hardcoded end date: July 8, 2025
+    max_date = datetime(2025, 7, 16)  # Hardcoded end date: July 8, 2025
     logger.info(f"ROI Graph - Hardcoded date range: min_date = {min_date}, max_date = {max_date}")
     fig.update_xaxes(
         showgrid=True, 
@@ -1799,7 +1799,7 @@ def create_combined_time_series_graph(df):
     
     # IMPORTANT: Filter data by hardcoded date range (June 6 to July 8, 2025)
     min_date = datetime(2025, 6, 6)
-    max_date = datetime(2025, 7, 14, 23, 59, 59)  # Include all of July 8th
+    max_date = datetime(2025, 7, 16, 23, 59, 59)  # Include all of July 8th
     logger.info(f"Filtering APR data to date range: {min_date} to {max_date}")
     
     # Count data points before filtering
@@ -2145,7 +2145,7 @@ def create_combined_time_series_graph(df):
     
     # Update x-axis with better formatting and hardcoded date range (June 6 to July 8)
     min_date = datetime(2025, 6, 6)  # Hardcoded start date: June 6, 2025
-    max_date = datetime(2025, 7, 14)  # Hardcoded end date: July 8, 2025
+    max_date = datetime(2025, 7, 16)  # Hardcoded end date: July 8, 2025
     logger.info(f"APR Graph - Hardcoded date range: min_date = {min_date}, max_date = {max_date}")
     fig.update_xaxes(
         showgrid=True,