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83b151982e
moved a couple of stats summary functions from dashboard to a shared statistics_utils file
51 lines
1.3 KiB
Python
51 lines
1.3 KiB
Python
from datetime import datetime
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from dateutil import parser
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from functools import reduce
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def sum_of_statistics(delivery_statistics):
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statistics_keys = (
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'emails_delivered',
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'emails_requested',
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'emails_failed',
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'sms_requested',
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'sms_delivered',
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'sms_failed'
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)
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if not delivery_statistics or not delivery_statistics[0]:
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return {
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key: 0 for key in statistics_keys
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}
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return reduce(
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lambda x, y: {
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key: x.get(key, 0) + y.get(key, 0)
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for key in statistics_keys
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},
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delivery_statistics
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)
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def add_rates_to(delivery_statistics):
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return dict(
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emails_failure_rate=(
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"{0:.1f}".format(
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float(delivery_statistics['emails_failed']) / delivery_statistics['emails_requested'] * 100
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)
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if delivery_statistics['emails_requested'] else 0
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),
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sms_failure_rate=(
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"{0:.1f}".format(
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float(delivery_statistics['sms_failed']) / delivery_statistics['sms_requested'] * 100
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)
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if delivery_statistics['sms_requested'] else 0
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),
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week_end_datetime=parser.parse(
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delivery_statistics.get('week_end', str(datetime.utcnow()))
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),
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**delivery_statistics
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)
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