@@ 622-675 (lines=54) @@ | ||
619 | result['reporting_period']['variances'] = list() |
|
620 | result['reporting_period']['variances_increment_rate'] = list() |
|
621 | ||
622 | if energy_category_set is not None and len(energy_category_set) > 0: |
|
623 | for energy_category_id in energy_category_set: |
|
624 | result['reporting_period']['names'].append(energy_category_dict[energy_category_id]['name']) |
|
625 | result['reporting_period']['energy_category_ids'].append(energy_category_id) |
|
626 | result['reporting_period']['units'].append(energy_category_dict[energy_category_id]['unit_of_measure']) |
|
627 | result['reporting_period']['timestamps'].append(reporting[energy_category_id]['timestamps']) |
|
628 | result['reporting_period']['values'].append(reporting[energy_category_id]['values']) |
|
629 | result['reporting_period']['subtotals'].append(reporting[energy_category_id]['subtotal']) |
|
630 | result['reporting_period']['means'].append(reporting[energy_category_id]['mean']) |
|
631 | result['reporting_period']['means_increment_rate'].append( |
|
632 | (reporting[energy_category_id]['mean'] - base[energy_category_id]['mean']) / |
|
633 | base[energy_category_id]['mean'] if (base[energy_category_id]['mean'] is not None and |
|
634 | base[energy_category_id]['mean'] > Decimal(0.0)) |
|
635 | else None) |
|
636 | result['reporting_period']['medians'].append(reporting[energy_category_id]['median']) |
|
637 | result['reporting_period']['medians_increment_rate'].append( |
|
638 | (reporting[energy_category_id]['median'] - base[energy_category_id]['median']) / |
|
639 | base[energy_category_id]['median'] if (base[energy_category_id]['median'] is not None and |
|
640 | base[energy_category_id]['median'] > Decimal(0.0)) |
|
641 | else None) |
|
642 | result['reporting_period']['minimums'].append(reporting[energy_category_id]['minimum']) |
|
643 | result['reporting_period']['minimums_increment_rate'].append( |
|
644 | (reporting[energy_category_id]['minimum'] - base[energy_category_id]['minimum']) / |
|
645 | base[energy_category_id]['minimum'] if (base[energy_category_id]['minimum'] is not None and |
|
646 | base[energy_category_id]['minimum'] > Decimal(0.0)) |
|
647 | else None) |
|
648 | result['reporting_period']['maximums'].append(reporting[energy_category_id]['maximum']) |
|
649 | result['reporting_period']['maximums_increment_rate'].append( |
|
650 | (reporting[energy_category_id]['maximum'] - base[energy_category_id]['maximum']) / |
|
651 | base[energy_category_id]['maximum'] if (base[energy_category_id]['maximum'] is not None and |
|
652 | base[energy_category_id]['maximum'] > Decimal(0.0)) |
|
653 | else None) |
|
654 | result['reporting_period']['stdevs'].append(reporting[energy_category_id]['stdev']) |
|
655 | result['reporting_period']['stdevs_increment_rate'].append( |
|
656 | (reporting[energy_category_id]['stdev'] - base[energy_category_id]['stdev']) / |
|
657 | base[energy_category_id]['stdev'] if (base[energy_category_id]['stdev'] is not None and |
|
658 | base[energy_category_id]['stdev'] > Decimal(0.0)) |
|
659 | else None) |
|
660 | result['reporting_period']['variances'].append(reporting[energy_category_id]['variance']) |
|
661 | result['reporting_period']['variances_increment_rate'].append( |
|
662 | (reporting[energy_category_id]['variance'] - base[energy_category_id]['variance']) / |
|
663 | base[energy_category_id]['variance'] if (base[energy_category_id]['variance'] is not None and |
|
664 | base[energy_category_id]['variance'] > Decimal(0.0)) |
|
665 | else None) |
|
666 | ||
667 | rate = list() |
|
668 | for index, value in enumerate(reporting[energy_category_id]['values']): |
|
669 | if index < len(base[energy_category_id]['values']) \ |
|
670 | and base[energy_category_id]['values'][index] != 0 and value != 0: |
|
671 | rate.append((value - base[energy_category_id]['values'][index]) |
|
672 | / base[energy_category_id]['values'][index]) |
|
673 | else: |
|
674 | rate.append(None) |
|
675 | result['reporting_period']['rates'].append(rate) |
|
676 | ||
677 | result['parameters'] = { |
|
678 | "names": parameters_data['names'], |
@@ 575-628 (lines=54) @@ | ||
572 | result['reporting_period']['variances'] = list() |
|
573 | result['reporting_period']['variances_increment_rate'] = list() |
|
574 | ||
575 | if energy_category_set is not None and len(energy_category_set) > 0: |
|
576 | for energy_category_id in energy_category_set: |
|
577 | result['reporting_period']['names'].append(energy_category_dict[energy_category_id]['name']) |
|
578 | result['reporting_period']['energy_category_ids'].append(energy_category_id) |
|
579 | result['reporting_period']['units'].append(energy_category_dict[energy_category_id]['unit_of_measure']) |
|
580 | result['reporting_period']['timestamps'].append(reporting[energy_category_id]['timestamps']) |
|
581 | result['reporting_period']['values'].append(reporting[energy_category_id]['values']) |
|
582 | result['reporting_period']['subtotals'].append(reporting[energy_category_id]['subtotal']) |
|
583 | result['reporting_period']['means'].append(reporting[energy_category_id]['mean']) |
|
584 | result['reporting_period']['means_increment_rate'].append( |
|
585 | (reporting[energy_category_id]['mean'] - base[energy_category_id]['mean']) / |
|
586 | base[energy_category_id]['mean'] if (base[energy_category_id]['mean'] is not None and |
|
587 | base[energy_category_id]['mean'] > Decimal(0.0)) |
|
588 | else None) |
|
589 | result['reporting_period']['medians'].append(reporting[energy_category_id]['median']) |
|
590 | result['reporting_period']['medians_increment_rate'].append( |
|
591 | (reporting[energy_category_id]['median'] - base[energy_category_id]['median']) / |
|
592 | base[energy_category_id]['median'] if (base[energy_category_id]['median'] is not None and |
|
593 | base[energy_category_id]['median'] > Decimal(0.0)) |
|
594 | else None) |
|
595 | result['reporting_period']['minimums'].append(reporting[energy_category_id]['minimum']) |
|
596 | result['reporting_period']['minimums_increment_rate'].append( |
|
597 | (reporting[energy_category_id]['minimum'] - base[energy_category_id]['minimum']) / |
|
598 | base[energy_category_id]['minimum'] if (base[energy_category_id]['minimum'] is not None and |
|
599 | base[energy_category_id]['minimum'] > Decimal(0.0)) |
|
600 | else None) |
|
601 | result['reporting_period']['maximums'].append(reporting[energy_category_id]['maximum']) |
|
602 | result['reporting_period']['maximums_increment_rate'].append( |
|
603 | (reporting[energy_category_id]['maximum'] - base[energy_category_id]['maximum']) / |
|
604 | base[energy_category_id]['maximum'] if (base[energy_category_id]['maximum'] is not None and |
|
605 | base[energy_category_id]['maximum'] > Decimal(0.0)) |
|
606 | else None) |
|
607 | result['reporting_period']['stdevs'].append(reporting[energy_category_id]['stdev']) |
|
608 | result['reporting_period']['stdevs_increment_rate'].append( |
|
609 | (reporting[energy_category_id]['stdev'] - base[energy_category_id]['stdev']) / |
|
610 | base[energy_category_id]['stdev'] if (base[energy_category_id]['stdev'] is not None and |
|
611 | base[energy_category_id]['stdev'] > Decimal(0.0)) |
|
612 | else None) |
|
613 | result['reporting_period']['variances'].append(reporting[energy_category_id]['variance']) |
|
614 | result['reporting_period']['variances_increment_rate'].append( |
|
615 | (reporting[energy_category_id]['variance'] - base[energy_category_id]['variance']) / |
|
616 | base[energy_category_id]['variance'] if (base[energy_category_id]['variance'] is not None and |
|
617 | base[energy_category_id]['variance'] > Decimal(0.0)) |
|
618 | else None) |
|
619 | ||
620 | rate = list() |
|
621 | for index, value in enumerate(reporting[energy_category_id]['values']): |
|
622 | if index < len(base[energy_category_id]['values']) \ |
|
623 | and base[energy_category_id]['values'][index] != 0 and value != 0: |
|
624 | rate.append((value - base[energy_category_id]['values'][index]) |
|
625 | / base[energy_category_id]['values'][index]) |
|
626 | else: |
|
627 | rate.append(None) |
|
628 | result['reporting_period']['rates'].append(rate) |
|
629 | ||
630 | result['parameters'] = { |
|
631 | "names": parameters_data['names'], |