@@ 640-661 (lines=22) @@ | ||
637 | stdev = None |
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638 | variance = None |
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639 | current_datetime_utc = start_datetime_utc.replace(minute=0, second=0, microsecond=0, tzinfo=None) |
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640 | while current_datetime_utc <= end_datetime_utc: |
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641 | sub_total = Decimal(0.0) |
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642 | for row in rows_hourly: |
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643 | if current_datetime_utc <= row[0] < current_datetime_utc + \ |
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644 | timedelta(minutes=config.minutes_to_count): |
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645 | sub_total += row[1] |
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646 | ||
647 | result_rows_hourly.append((current_datetime_utc, sub_total)) |
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648 | sample_data.append(sub_total) |
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649 | ||
650 | counter += 1 |
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651 | if minimum is None: |
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652 | minimum = sub_total |
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653 | elif minimum > sub_total: |
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654 | minimum = sub_total |
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655 | ||
656 | if maximum is None: |
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657 | maximum = sub_total |
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658 | elif maximum < sub_total: |
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659 | maximum = sub_total |
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660 | ||
661 | current_datetime_utc += timedelta(minutes=config.minutes_to_count) |
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662 | ||
663 | if len(sample_data) > 1: |
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664 | mean = statistics.mean(sample_data) |
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@@ 686-705 (lines=20) @@ | ||
683 | # calculate the start datetime in utc of the first day in local |
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684 | start_datetime_local = start_datetime_utc + timedelta(hours=int(config.utc_offset[1:3])) |
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685 | current_datetime_utc = start_datetime_local.replace(hour=0) - timedelta(hours=int(config.utc_offset[1:3])) |
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686 | while current_datetime_utc <= end_datetime_utc: |
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687 | sub_total = Decimal(0.0) |
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688 | for row in rows_hourly: |
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689 | if current_datetime_utc <= row[0] < current_datetime_utc + timedelta(days=1): |
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690 | sub_total += row[1] |
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691 | ||
692 | result_rows_daily.append((current_datetime_utc, sub_total)) |
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693 | sample_data.append(sub_total) |
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694 | ||
695 | counter += 1 |
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696 | if minimum is None: |
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697 | minimum = sub_total |
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698 | elif minimum > sub_total: |
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699 | minimum = sub_total |
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700 | ||
701 | if maximum is None: |
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702 | maximum = sub_total |
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703 | elif maximum < sub_total: |
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704 | maximum = sub_total |
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705 | current_datetime_utc += timedelta(days=1) |
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706 | ||
707 | if len(sample_data) > 1: |
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708 | mean = statistics.mean(sample_data) |