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* call variables unambiguous things like `start_time` or `bst_date` to reduce risk of passing in the wrong thing * simplify the count_dict object - remove nested dict and start_date fields as superfluous * use static datetime objects in tests rather than calculating them each time
41 lines
1.4 KiB
Python
41 lines
1.4 KiB
Python
from datetime import datetime
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from flask import current_app
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from app.utils import get_midnight_for_day_before, get_london_midnight_in_utc
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from app.dao.notifications_dao import dao_get_total_notifications_sent_per_day_for_performance_platform
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from app import performance_platform_client
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def send_processing_time_to_performance_platform():
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today = datetime.utcnow()
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start_time = get_midnight_for_day_before(today)
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end_time = get_london_midnight_in_utc(today)
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send_processing_time_for_start_and_end(start_time, end_time)
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def send_processing_time_for_start_and_end(start_time, end_time):
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result = dao_get_total_notifications_sent_per_day_for_performance_platform(start_time, end_time)
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current_app.logger.info(
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'Sending processing-time to performance platform for date {}. Total: {}, under 10 secs {}'.format(
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start_time, result.messages_total, result.messages_within_10_secs
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)
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)
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send_processing_time_data(start_time, 'messages-total', result.messages_total)
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send_processing_time_data(start_time, 'messages-within-10-secs', result.messages_within_10_secs)
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def send_processing_time_data(start_time, status, count):
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payload = performance_platform_client.format_payload(
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dataset='processing-time',
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start_time=start_time,
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group_name='status',
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group_value=status,
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count=count
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)
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performance_platform_client.send_stats_to_performance_platform(payload)
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