Avoid deeply nested control flow statements.

Open

                        for energy_data_item in energy_data_list:
                            offline_meter_id = energy_data_item['offline_meter_id']
                            print(energy_data_item['data'].items())
                            for start_datetime_utc, daily_value in energy_data_item['data'].items():
                                end_datetime_utc = start_datetime_utc + timedelta(hours=24)

Avoid deeply nested control flow statements.

Open

                    for energy_category_id in energy_category_list:
                        current_factor = factor_dict[energy_category_id]
                        current_energy = energy_dict[current_datetime_utc].get(energy_category_id)
                        if current_factor is not None \
                                and isinstance(current_factor, Decimal) \

Avoid deeply nested control flow statements.

Open

                        for row in rows:
                            point_values_dict[point['point_id']][row[0]] = row[1]
                elif point_object_type == 'ENERGY_VALUE':

Avoid deeply nested control flow statements.

Open

                    for cell in row:
                        col_num += 1
                        if not isinstance(cell.value, type(None)):
                            print(cell.value)
                        if col_num == 1:

Avoid deeply nested control flow statements.

Open

                    if not isinstance(repair_file_data['point_id'], type(None)):
                        print("repair_file_data:" + str(repair_file_data))
                        energy_data_list.append(repair_file_data)

            ############################################################################################################

Avoid deeply nested control flow statements.

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

                        for energy_category_id, actual_value in meta_data_dict.items():
                            aggregated_value['meta_data'][energy_category_id] = \
                                aggregated_value['meta_data'].get(energy_category_id, Decimal(0.0)) + actual_value

Avoid deeply nested control flow statements.

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

                    for energy_data_item in energy_data_list:
                        if energy_data_item['offline_meter_id'] not in offline_meter_id_set:
                            is_valid_file = False
                            break

Avoid deeply nested control flow statements.

Open

                        if cursor:
                            cursor.close()
                        if cnx:

Avoid deeply nested control flow statements.

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

                    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

                    if common_end_datetime_utc > max(energy_hourly.keys()):
                        common_end_datetime_utc = max(energy_hourly.keys())

Avoid deeply nested control flow statements.

Open

                    if current_tariff is not None \
                            and isinstance(current_tariff, Decimal) \
                            and current_energy is not None \
                            and isinstance(current_energy, Decimal):
                        aggregated_value['actual_value'] = current_energy * current_tariff

Avoid deeply nested control flow statements.

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

                    for energy_data_item in energy_data_list:
                        file_point_id_set.add(energy_data_item['point_id'])

                    # limit one point id in one file
                    if len(file_point_id_set) != 1:

Avoid deeply nested control flow statements.

Open

                        if cnx:
                            cnx.close()
                        time.sleep(60)

Avoid deeply nested control flow statements.

Open

                        if cnx:
                            cnx.close()

            ############################################################################################################
            # STEP 4: update file status to 'done' or 'error'

Avoid deeply nested control flow statements.

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(store['id']) + ","
                                add_values += " " + str(energy_category_id) + ","

Function PaymentsLineChart has a Cognitive Complexity of 8 (exceeds 5 allowed). Consider refactoring.

Open

const PaymentsLineChart = () => {
  const [paymentStatus, setPaymentStatus] = useState('successful');
  const { isDark } = useContext(AppContext);

  const config = {

• Read up
  Read up