myems /
myems-api
| @@ 512-555 (lines=44) @@ | ||
| 509 | result['reporting_period']['variances'] = list() |
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| 510 | result['reporting_period']['variances_increment_rate'] = list() |
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| 511 | ||
| 512 | if energy_category_set is not None and len(energy_category_set) > 0: |
|
| 513 | for energy_category_id in energy_category_set: |
|
| 514 | result['reporting_period']['names'].append(energy_category_dict[energy_category_id]['name']) |
|
| 515 | result['reporting_period']['energy_category_ids'].append(energy_category_id) |
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| 516 | result['reporting_period']['units'].append(energy_category_dict[energy_category_id]['unit_of_measure']) |
|
| 517 | result['reporting_period']['timestamps'].append(reporting[energy_category_id]['timestamps']) |
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| 518 | result['reporting_period']['values'].append(reporting[energy_category_id]['values']) |
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| 519 | result['reporting_period']['subtotals'].append(reporting[energy_category_id]['subtotal']) |
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| 520 | result['reporting_period']['means'].append(reporting[energy_category_id]['mean']) |
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| 521 | result['reporting_period']['means_increment_rate'].append( |
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| 522 | (reporting[energy_category_id]['mean'] - base[energy_category_id]['mean']) / |
|
| 523 | base[energy_category_id]['mean'] if (base[energy_category_id]['mean'] is not None and |
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| 524 | base[energy_category_id]['mean'] > Decimal(0.0)) |
|
| 525 | else None) |
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| 526 | result['reporting_period']['medians'].append(reporting[energy_category_id]['median']) |
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| 527 | result['reporting_period']['medians_increment_rate'].append( |
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| 528 | (reporting[energy_category_id]['median'] - base[energy_category_id]['median']) / |
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| 529 | base[energy_category_id]['median'] if (base[energy_category_id]['median'] is not None and |
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| 530 | base[energy_category_id]['median'] > Decimal(0.0)) |
|
| 531 | else None) |
|
| 532 | result['reporting_period']['minimums'].append(reporting[energy_category_id]['minimum']) |
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| 533 | result['reporting_period']['minimums_increment_rate'].append( |
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| 534 | (reporting[energy_category_id]['minimum'] - base[energy_category_id]['minimum']) / |
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| 535 | base[energy_category_id]['minimum'] if (base[energy_category_id]['minimum'] is not None and |
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| 536 | base[energy_category_id]['minimum'] > Decimal(0.0)) |
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| 537 | else None) |
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| 538 | result['reporting_period']['maximums'].append(reporting[energy_category_id]['maximum']) |
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| 539 | result['reporting_period']['maximums_increment_rate'].append( |
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| 540 | (reporting[energy_category_id]['maximum'] - base[energy_category_id]['maximum']) / |
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| 541 | base[energy_category_id]['maximum'] if (base[energy_category_id]['maximum'] is not None and |
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| 542 | base[energy_category_id]['maximum'] > Decimal(0.0)) |
|
| 543 | else None) |
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| 544 | result['reporting_period']['stdevs'].append(reporting[energy_category_id]['stdev']) |
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| 545 | result['reporting_period']['stdevs_increment_rate'].append( |
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| 546 | (reporting[energy_category_id]['stdev'] - base[energy_category_id]['stdev']) / |
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| 547 | base[energy_category_id]['stdev'] if (base[energy_category_id]['stdev'] is not None and |
|
| 548 | base[energy_category_id]['stdev'] > Decimal(0.0)) |
|
| 549 | else None) |
|
| 550 | result['reporting_period']['variances'].append(reporting[energy_category_id]['variance']) |
|
| 551 | result['reporting_period']['variances_increment_rate'].append( |
|
| 552 | (reporting[energy_category_id]['variance'] - base[energy_category_id]['variance']) / |
|
| 553 | base[energy_category_id]['variance'] if (base[energy_category_id]['variance'] is not None and |
|
| 554 | base[energy_category_id]['variance'] > Decimal(0.0)) |
|
| 555 | else None) |
|
| 556 | ||
| 557 | result['parameters'] = { |
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| 558 | "names": parameters_data['names'], |
|
| @@ 506-549 (lines=44) @@ | ||
| 503 | result['reporting_period']['variances'] = list() |
|
| 504 | result['reporting_period']['variances_increment_rate'] = list() |
|
| 505 | ||
| 506 | if energy_category_set is not None and len(energy_category_set) > 0: |
|
| 507 | for energy_category_id in energy_category_set: |
|
| 508 | result['reporting_period']['names'].append(energy_category_dict[energy_category_id]['name']) |
|
| 509 | result['reporting_period']['energy_category_ids'].append(energy_category_id) |
|
| 510 | result['reporting_period']['units'].append(energy_category_dict[energy_category_id]['unit_of_measure']) |
|
| 511 | result['reporting_period']['timestamps'].append(reporting[energy_category_id]['timestamps']) |
|
| 512 | result['reporting_period']['values'].append(reporting[energy_category_id]['values']) |
|
| 513 | result['reporting_period']['subtotals'].append(reporting[energy_category_id]['subtotal']) |
|
| 514 | result['reporting_period']['means'].append(reporting[energy_category_id]['mean']) |
|
| 515 | result['reporting_period']['means_increment_rate'].append( |
|
| 516 | (reporting[energy_category_id]['mean'] - base[energy_category_id]['mean']) / |
|
| 517 | base[energy_category_id]['mean'] if (base[energy_category_id]['mean'] is not None and |
|
| 518 | base[energy_category_id]['mean'] > Decimal(0.0)) |
|
| 519 | else None) |
|
| 520 | result['reporting_period']['medians'].append(reporting[energy_category_id]['median']) |
|
| 521 | result['reporting_period']['medians_increment_rate'].append( |
|
| 522 | (reporting[energy_category_id]['median'] - base[energy_category_id]['median']) / |
|
| 523 | base[energy_category_id]['median'] if (base[energy_category_id]['median'] is not None and |
|
| 524 | base[energy_category_id]['median'] > Decimal(0.0)) |
|
| 525 | else None) |
|
| 526 | result['reporting_period']['minimums'].append(reporting[energy_category_id]['minimum']) |
|
| 527 | result['reporting_period']['minimums_increment_rate'].append( |
|
| 528 | (reporting[energy_category_id]['minimum'] - base[energy_category_id]['minimum']) / |
|
| 529 | base[energy_category_id]['minimum'] if (base[energy_category_id]['minimum'] is not None and |
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| 530 | base[energy_category_id]['minimum'] > Decimal(0.0)) |
|
| 531 | else None) |
|
| 532 | result['reporting_period']['maximums'].append(reporting[energy_category_id]['maximum']) |
|
| 533 | result['reporting_period']['maximums_increment_rate'].append( |
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| 534 | (reporting[energy_category_id]['maximum'] - base[energy_category_id]['maximum']) / |
|
| 535 | base[energy_category_id]['maximum'] if (base[energy_category_id]['maximum'] is not None and |
|
| 536 | base[energy_category_id]['maximum'] > Decimal(0.0)) |
|
| 537 | else None) |
|
| 538 | result['reporting_period']['stdevs'].append(reporting[energy_category_id]['stdev']) |
|
| 539 | result['reporting_period']['stdevs_increment_rate'].append( |
|
| 540 | (reporting[energy_category_id]['stdev'] - base[energy_category_id]['stdev']) / |
|
| 541 | base[energy_category_id]['stdev'] if (base[energy_category_id]['stdev'] is not None and |
|
| 542 | base[energy_category_id]['stdev'] > Decimal(0.0)) |
|
| 543 | else None) |
|
| 544 | result['reporting_period']['variances'].append(reporting[energy_category_id]['variance']) |
|
| 545 | result['reporting_period']['variances_increment_rate'].append( |
|
| 546 | (reporting[energy_category_id]['variance'] - base[energy_category_id]['variance']) / |
|
| 547 | base[energy_category_id]['variance'] if (base[energy_category_id]['variance'] is not None and |
|
| 548 | base[energy_category_id]['variance'] > Decimal(0.0)) |
|
| 549 | else None) |
|
| 550 | ||
| 551 | result['parameters'] = { |
|
| 552 | "names": parameters_data['names'], |
|
