Replace 'anccr' with 'rates' to be more generic

Author: Bill-Becker

CHANGELOG.md

@@ -32,6 +32,7 @@ Classify the change according to the following categories:
 - `ElectricLoad` input `monthly_peaks_kw`. Can be used to scale loads_kw or doe_reference loads to monthly peaks while maintaining monthly energy.
 - `ElectricTariff` outputs: `demand_rate_average_series`, `energy_cost_series_before_tax`, `energy_cost_series_before_tax_bau`, `energy_rate_average_series`, `energy_rate_series`, `energy_rate_tier_limits`, `facility_demand_monthly_rate_series`, `facility_demand_monthly_rate_tier_limits`, `monthly_demand_cost_series_before_tax`, `monthly_demand_cost_series_before_tax_bau`, `monthly_energy_cost_series_before_tax`, `monthly_energy_cost_series_before_tax_bau`, `monthly_facility_demand_cost_series_before_tax`, `monthly_facility_demand_cost_series_before_tax_bau`, `monthly_fixed_cost_series_before_tax`, `monthly_fixed_cost_before_tax_bau`, `monthly_tou_demand_cost_series_before_tax`, `monthly_tou_demand_cost_series_before_tax_bau`, `tou_demand_metrics`, `tou_demand_rate_series`, `tou_demand_rate_tier_limits`.
 - New endpoint `/get_load_metrics` for sending a timeseries `load_profile` and getting monthly and annual energy and peak loads.
+- New custom table option `custom_table_rates` for endpoint `/job/generate_results_table`
 
 
 ## v3.16.2

reoptjl/custom_table_config.py

@@ -1341,7 +1341,7 @@
 
 
 
-custom_table_anccr = [
+custom_table_rates = [
 #####################################################################################################
 ################################ Need to get the RATE NAME to appear in header ################
 #####################################################################################################

reoptjl/views.py

@@ -2026,8 +2026,8 @@ def get_combined_format(label, row_color, is_formula=False):
         column_width = 25
         columns_to_hide = set()
 
-        # Check if using custom_table_anccr - if so, hide ALL BAU columns
-        is_anccr_table = (custom_table == custom_table_anccr)
+        # Check if using custom_table_rates - if so, hide ALL BAU columns
+        is_anccr_table = (custom_table == custom_table_rates)
 
         # Extract rate names for ANCCR table headers
         rate_names = []
@@ -2043,7 +2043,7 @@ def get_combined_format(label, row_color, is_formula=False):
         # Only proceed if there are BAU columns
         if bau_columns:
             if is_anccr_table:
-                # For custom_table_anccr, hide ALL BAU columns
+                # For custom_table_rates, hide ALL BAU columns
                 columns_to_hide.update(bau_columns)
             else:
                 identical_bau_columns = True  # Assume all BAU columns are identical unless proven otherwise
@@ -2079,11 +2079,11 @@ def get_combined_format(label, row_color, is_formula=False):
         # Write scenario headers
         worksheet.write('A1', 'Scenario', scenario_formats[0])
 
-        # Track non-BAU column index for rate name mapping (only for custom_table_anccr)
+        # Track non-BAU column index for rate name mapping (only for custom_table_rates)
         non_bau_index = 0
 
         for col_num, header in enumerate(df.columns):
-            # For custom_table_anccr, use rate names for non-BAU column headers
+            # For custom_table_rates, use rate names for non-BAU column headers
             if is_anccr_table and rate_names:
                 if "BAU" not in header:
                     # This is a non-BAU column - use rate name as header