mirror of
https://github.com/GSA/notifications-admin.git
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8d33f28b76
* Refactored reports to use pregenerated docs instead * Fixed e2e test * Fixed anothr bug * Cleanup * Fixed timezone conversion * Updated ref files * Updated reference files, refreshed ui/ux for report generation. Buttons toggle on and off based on if report exists * Fixed linting errors, removed pytz * Fixed test failure * e2e test fix * Speeding up unit tests * Removed python time library that was causing performance issues with unit tests * Updated poetry lock * Unit test improvements * Made change that ken reccomended
82 lines
2.3 KiB
Python
82 lines
2.3 KiB
Python
from datetime import datetime
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from functools import reduce
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from dateutil import parser
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from app.utils.csv import get_user_preferred_timezone_obj
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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 {key: 0 for key in statistics_keys}
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return reduce(
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lambda x, y: {key: x.get(key, 0) + y.get(key, 0) for key in statistics_keys},
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delivery_statistics,
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)
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def add_rates_to(delivery_statistics):
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preferred_tz = get_user_preferred_timezone_obj()
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return dict(
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emails_failure_rate=get_formatted_percentage(
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delivery_statistics["emails_failed"],
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delivery_statistics["emails_requested"],
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),
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sms_failure_rate=get_formatted_percentage(
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delivery_statistics["sms_failed"], delivery_statistics["sms_requested"]
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),
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week_end_datetime=parser.parse(
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delivery_statistics.get("week_end", str(datetime.now(preferred_tz)))
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),
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**delivery_statistics
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)
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def get_formatted_percentage(x, tot):
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"""
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Return a percentage to one decimal place (respecting )
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"""
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return "{0:.1f}".format((float(x) / tot * 100)) if tot else "0"
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def get_formatted_percentage_two_dp(x, tot):
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"""
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Return a percentage to two decimal places
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"""
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return "{0:.2f}".format((float(x) / tot * 100)) if tot else "0"
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def statistics_by_state(statistics):
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return {
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"sms": {
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"processed": statistics["sms_requested"],
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"sending": (
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statistics["sms_requested"]
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- statistics["sms_failed"]
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- statistics["sms_delivered"]
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),
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"delivered": statistics["sms_delivered"],
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"failed": statistics["sms_failed"],
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},
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"email": {
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"processed": statistics["emails_requested"],
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"sending": (
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statistics["emails_requested"]
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- statistics["emails_failed"]
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- statistics["emails_delivered"]
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),
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"delivered": statistics["emails_delivered"],
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"failed": statistics["emails_failed"],
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},
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}
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