Showing 5,781 of 10,536 total issues
Avoid deeply nested control flow statements. Open
Open
if common_start_datetime_utc < min(energy_hourly.keys()):
common_start_datetime_utc = min(energy_hourly.keys())
if common_end_datetime_utc > max(energy_hourly.keys()):
Avoid deeply nested control flow statements. Open
Open
if len(billing_dict[current_datetime_utc]) == 0:
del billing_dict[current_datetime_utc]
############################################################################################################
# Step 6: save billing data to billing database
Avoid deeply nested control flow statements. Open
Open
if common_end_datetime_utc > max(energy_hourly.keys()):
common_end_datetime_utc = max(energy_hourly.keys())
Avoid deeply nested control flow statements. Open
Open
if common_start_datetime_utc < min(energy_hourly.keys()):
common_start_datetime_utc = min(energy_hourly.keys())
if common_end_datetime_utc > max(energy_hourly.keys()):
Avoid deeply nested control flow statements. Open
Open
if common_end_datetime_utc > max(energy_hourly.keys()):
common_end_datetime_utc = max(energy_hourly.keys())
Avoid deeply nested control flow statements. Open
Open
if common_start_datetime_utc < min(energy_hourly.keys()):
common_start_datetime_utc = min(energy_hourly.keys())
if common_end_datetime_utc > max(energy_hourly.keys()):
Avoid deeply nested control flow statements. Open
Open
if common_start_datetime_utc < min(energy_hourly.keys()):
common_start_datetime_utc = min(energy_hourly.keys())
if common_end_datetime_utc > max(energy_hourly.keys()):
Avoid deeply nested control flow statements. Open
Open
if common_start_datetime_utc < min(energy_hourly.keys()):
common_start_datetime_utc = min(energy_hourly.keys())
if common_end_datetime_utc > max(energy_hourly.keys()):
Avoid deeply nested control flow statements. Open
Open
if common_end_datetime_utc > max(energy_hourly.keys()):
common_end_datetime_utc = max(energy_hourly.keys())
Avoid deeply nested control flow statements. Open
Open
for energy_item_id, actual_value in meta_data_dict.items():
aggregated_value['meta_data'][energy_item_id] = \
aggregated_value['meta_data'].get(energy_item_id, Decimal(0.0)) + actual_value
Avoid deeply nested control flow statements. Open
Open
for energy_item_id, actual_value in meta_data_dict.items():
aggregated_value['meta_data'][energy_item_id] = \
aggregated_value['meta_data'].get(energy_item_id, Decimal(0.0)) + actual_value
Avoid deeply nested control flow statements. Open
Open
for energy_category_id in energy_category_list:
current_carbon = carbon_dict[current_datetime_utc].get(energy_category_id)
if current_carbon is not None and isinstance(current_carbon, Decimal):
add_values += " (" + str(equipment['id']) + ","
add_values += " " + str(energy_category_id) + ","
Avoid deeply nested control flow statements. Open
Open
if current_datetime_utc not in energy_equipment_hourly[equipment_id]:
energy_equipment_hourly[equipment_id][current_datetime_utc] = dict()
energy_item_id = row_value[1]
Avoid deeply nested control flow statements. Open
Open
if current_carbon is not None and isinstance(current_carbon, Decimal):
add_values += " (" + str(microgrid['id']) + ","
add_values += "'" + current_datetime_utc.isoformat()[0:19] + "',"
add_values += str(current_carbon) + "), "
Avoid deeply nested control flow statements. Open
Open
if current_datetime_utc not in energy_combined_equipment_hourly[combined_equipment_id]:
energy_combined_equipment_hourly[combined_equipment_id][current_datetime_utc] = dict()
energy_category_id = row_value[1]
Avoid deeply nested control flow statements. Open
Open
if current_datetime_utc not in energy_equipment_hourly[equipment_id]:
energy_equipment_hourly[equipment_id][current_datetime_utc] = dict()
energy_category_id = row_value[1]
Avoid deeply nested control flow statements. Open
Open
if len(carbon_dict[current_datetime_utc]) == 0:
del carbon_dict[current_datetime_utc]
############################################################################################################
# Step 6: save carbon dioxide emissions data to database
Avoid deeply nested control flow statements. Open
Open
for energy_item_id, actual_value in meta_data_dict.items():
aggregated_value['meta_data'][energy_item_id] = \
aggregated_value['meta_data'].get(energy_item_id, Decimal(0.0)) + actual_value
Avoid deeply nested control flow statements. Open
Open
if common_start_datetime_utc < min(energy_hourly.keys()):
common_start_datetime_utc = min(energy_hourly.keys())
if common_end_datetime_utc > max(energy_hourly.keys()):
Avoid deeply nested control flow statements. Open
Open
if common_start_datetime_utc < min(energy_hourly.keys()):
common_start_datetime_utc = min(energy_hourly.keys())
if common_end_datetime_utc > max(energy_hourly.keys()):